CA2128411C - Apparatus and method for biometric identification - Google Patents

Apparatus and method for biometric identification Download PDF

Info

Publication number
CA2128411C
CA2128411C CA002128411A CA2128411A CA2128411C CA 2128411 C CA2128411 C CA 2128411C CA 002128411 A CA002128411 A CA 002128411A CA 2128411 A CA2128411 A CA 2128411A CA 2128411 C CA2128411 C CA 2128411C
Authority
CA
Canada
Prior art keywords
hand
image
platen
finger
person
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Lifetime
Application number
CA002128411A
Other languages
French (fr)
Other versions
CA2128411A1 (en
Inventor
Keith William Faulkner
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Accu Time Systems Inc
Original Assignee
BERGSTEDT LOWELL C
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BERGSTEDT LOWELL C filed Critical BERGSTEDT LOWELL C
Publication of CA2128411A1 publication Critical patent/CA2128411A1/en
Application granted granted Critical
Publication of CA2128411C publication Critical patent/CA2128411C/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/22Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G07C9/257Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107Static hand or arm
    • G06V40/11Hand-related biometrics; Hand pose recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1312Sensors therefor direct reading, e.g. contactless acquisition

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

Biometric measuring apparatus for recognizing a person's identity based on measurements performed on the person's hand. An arrangement for producing (11) and storing (13) a silhouette image of at least a portion of a person's hand is combined with an arrangement for producing (11) and storing (21A) a displacement image of the same portion of a person's hand which can be correlated (30) with said stored silhouette image to provide measurement data on finger height characteristics. An analyz-ing device analyzes said stored silhouette image and said stored displacement image to produce hand feature data, including hand feature data derived at least in part from finger height characteristics.
A comparing device (60) compares hand bid data with hand enrollment data to decide on the basis of prearranged decision criteria whether said hand bid data and said hand en-rollment data were produced by the same hand portion.

Description

V4'~ 93/16441 ~ ~ ~ ~ g hC'T/iJ~93/a4845 APPARATUS ANI(~ METH~~ FAR BI~~IIETRIC IiaEN'TIFI~sA'Tlt)N
Field of the Invention ~~ .
This invention relates generally to identification methods and systems for use in physical and logical access control systems. Physical access control pertains to systems such as security locks vuhereas logical access control pertains to electronic systems such as electronic funds transfer, ATM or confidential data base systems. More specifically this invention rep=:tes to biometric measuring apparatus and methods for recognizing a person's identity based on measurements performed on the person's hand.
o~ackground of the Invention ~ Biometric recognition systems generally involve recognition of a person by presentation of some physical characteristic of the person to a machine. These . systems have been shorn to have value in various security applications including W~ 83/16441 f'~'T/fJS9~/~0845 ~~.2~~~.~.
2 facility access control. t3iometric recognition based on hand or palm characteristics has been proposed in a number of prior art references.
Kondo U.S. Patent 4,206,441 discloses a palm pattern detector system and discusses various approaches to hand feature extraction. The system of the Kondo '441 patent utilizes a two dimensional image of the person's hand.
An ~ SRi international Technical Report entitled '°Automatic Palmprint Verification Study" by Young & Hammon lRADC-TR-81-161 ) dated June 1981, discusses approaches to hand feature extraction based on a two dimensional image of the hand.
Shuto U.S. Patent 4,537,193 discloses the use of guide means to assist in reproducible positioning of the hand of the person being measured by the apparatus.
Sidlauskas U.S. Patent 4,736,203 discloses a three dimensional hand profile identification apparatus. A pair of orthogonal retroreflecting surfaces are utilized to present concurrently a plan view and a profile view of a human hand to an imaging system. The addition of a profile view affords the opportunity to extract additional hand feature data, but it consists of an overall hand profile as the third dimensional image and does not provide any basis for extracting a third dimension of feature information on individual fingers.
A commercial version of the Sidlauskas system offered by Recognition Systems, Inc. of San Jose, California is sold under the trademark "Handkey."
The WO 93/1641 PCT/LJS~3100845
3 Handkey system also uses hand positioning guides on its retroflective platen to aid in reproducible finger positioning during both the hand enrollment operation cycle and the hand bid operation cycle.
Hand enrollment involves performing an initial measurement on a person's hand and storing the hand feature data extracted as hand enrollment data. Hand bidding involves a subsequent presentation of the person's had to the machine and the hand feature data extracted during the hand bid operation cycle is hand bid data.
The machine compares the hand bid data with the hand enrollment data to decide if the same hand was used to produce both sets of data. Typically the hand bid operation cycle also involves manual input of some identification data by the person doing the bidding, such as entry of a I'IN code on a keypad or swipe of a magnetic data card through a card reader.
While the Handkey system has proven its effectiveness in various security applications, there is need for further improvement in the discrimination ability and corresponding accuracy of biometric measuring apparatus of this type.
Objects of this Invention It is the principal object of this invention to provide improved biometric I measuring apparatus and methods.
It is another object of this invention to provide improved three dimensional biometric measuring apparatus and methods.

?2867-10
4 It i8 ti further object of this invention to provide s three dimensional biomr~tric measuring appaz~atus which provides measurements of finger height ahaa~actexistics on individual fingers in addition to other hand geometry features.
Featur°s and Advantages o~ the Invention In one braced general aspect, this invention features apparatus fox recognizing a person's id~antity based on measurements performed on the person's hand with the ' 7.0 apparatus genera:.ly comprising the combination o° means for producing a silhouette image of at least a portion of a person's hand, m~~ane for producing a diaplacamenr_ image of the same hand po:_°tiori, means for analyzing the images to produce hand fea~:ure data; arid means for comparing hand feature data oht~~ined during a bid cycle with hand feature data obtained du;.ing a previous enrollment cycle to determine ~.~ the person was previously enrolled.
AcoordGng to a broad aspect, the invent ion provides biometric measuring apparatus fox xecog:nizing a person's identit,~ based on measurements performed on the person's hand, said apparatus comprising: means for producing and string a silhouette image of at least a portion of a person's hand including at least one finger to provide a stored silhouette image, means fox' producing and storing a diepla~cment imago of the same portion .of a person's hand to provide a stored difiplacement image from which measurement data on finger height characteristics can be derived; means for analyzing said stored silhouette image and said stored 3isplacement image to produce hand feature data, including hand feature data derived at least in part w from said measurement data on finger height characteristics derived from said stored displacement image; means for ~as6~~lo storing hand enrollment data comprising said hand feature data obtained during a hand enrollment operation cycl~;
means for storing hand bid data comprising said hand feature data obtained during a hand bid operation cycle; and means
5 for comparing hand bid data with hand enrollment data to decide on the k~aais of prearranged decision criteria whether said hand bid data and said hand enrollment data were produced by the same hand portion.
According to another broad aspect, the invention provides in biometric measuring apparatus for xec~ogllizing a person's identity' based on measurements of the pe~rson'r~
hand, the comb~.nstion comprising: support means on which at least a portion cf the hand of a person includincl at least a pair of fingers nay be placed; image capture mearss for viewing said supx~ort means from a prearranged ime~ge viewing direction and fox' capturing and storing an image of a hand portion placed tr.ereon; first illumination means for illuminating said support means and a hand poxtic>n placed thereon to preserst to said image capture means a silhouette image of said hard portion; second illumination means for illuminating said support means and a hand portion placed thereon to present to said image capture means a displacement imacte of said hand portion wh~.ch can be Correlated with (said silhouette image to provide measurement data on finger height characteristics; image acquisition m~ans eaupled to said image capture means, said i°irst illumination means and said second illumination rneans for operating said image capture means and said first illumination means during a silhouette image capture period to acquire and store said silhouette image of sa:i.d hand s portion to produce a stored silhouette image, anti for operating Said image capture means and said second illumination means during a displacement image a;apture w mr V V I " 1 V
5a period to aequi:;e arid store said displacement image of said hand portion to produce a stored displacement icnage.
,,., According to a further aspect, the in~rention provides biemati~io meaeuring.npparatua for recognizing a person's identity based on mesrauremente performed on the pereon~s hand, ;aid apparatus comprising: mean's for producing a silr.ouette image of at least a portion of a person's hand; means for producing a d~.9placemerst image of the same hand pcrtion; means for analyzing Said silhouette l0 image and said ci.aplacement image to produce hand feature data; means for comparing hand feature data obtained during a hand bid cycle with hand feature data obtained during a !! previous hand enrollment cycles to determine it the persan~s hand was previouslar enrolled.
This invention may also be viewed as a method o~
recognizing a person which involves the steps of a~ capturing a silhouette image of at least a portion of a pa~rQOn~s harsdl b1 capturing es displacement image of the hand portion; e) anal:,~zing the rs.ilhouette image end displacement 2o image to produce hand feature data; and d1 compa:cing hand Feature data obts~ined during a bid cycle with hand feature data obtained du::ing a previous enrollment cycle to ! determine if the person was previously enrolled.
Accord:.ng to another broad aspect, the invention provides in a method for recognizing a person s :_dentity based on measurements performed on the person a hand the steps of: a. disposing a support means on which at least a '~ portion of a perFoan's hand including at least onES finger may be presented; b. illuminating said support means arid said 3o portion of a pers:vn's hand presented thereon with a substantially uniform flood of light to produce ~. silhouette image of said hard portion; a. ax~pturing and gtc~xing mab~r-io 5b ' ' r~i~.houett~ imagva data representir~g said silhouetae .image to produce stored silhouette image data; d. illum_lz;sting ~azd support means and said portion of a person's hand presented thereon with a :.fight source which produces a disaplacement image of said hand portion which displacement image can be !-, correlated with said silhouette image to produce; measurement data on fingex ~4ea.ght characteristics; e, capturing and storing displacement image data representing said d~.epleGCment ime:gc to produce stored d~.splacemer~t image data; and f . axva~.yzing said ~tored silhouette a.mage data ,~; and sa~.d stored displacement image data to prQduoe hard v feature data.
7~ccor~.ing to a further broad aspect, the invention provides in a method fox recognizing a person's identity based on measursmenta of performed on the per~or~'a h~snd, the steps of: a. capturing a silhouette image of a.t least a portion of a pexaon's hand; b. capturing a di>3F~lacement image of said pcrtion of a person's hand; c. analysing said silhouette image and said displacement image to produce hand feature data; az~d d. comparing hand feature data obtained during a hand bid cycle with hand feature data obtained during a previouls hand enrollment cycle to determine if the pexeon'e hand was pravioue~.y enrolled.
The advantage of using a combination of a silhouette ~.mage and a displacement image is improved w discrimination and accuracy ire xecognizing the person from hand geometry features. The term "silhouette image" here is uaQd to signify any image which oom8r~,aGS dark and light contrast between the hand portion in the image and the image background plane. In other words, the hand portion can be dark and the bactground light, or a7.texnatively, the hand ,, portion can be light and the laaokground dark.

~zas~-io 5c Axlotha~ aspect of this invention features biometric measuring apparatus for reoogni2ing a ;person's identity based o:z three dimensional measurements performed on the person's :wand including measurements of finger height characteristics on one or more individual finger9. The apparatus comprises means for producing and storing a silhouette image of at least a portion of a pers~cn's hand including a plurality of fingers, and means for ;producing and storing a displacement image of the same portion of a peraon~s hand which can be corre7.ated with the stored silhouette image to pravida meagurem~nt data on ~irlgex height characteri.stica. The apparatus further c~~mpriaes means for analyzing the stored silhouette image .and the stored displacement image to produce hand featur~a data.
Hand enrollment ~3ata is stored in the apparatus and comprises hand f,3ature data obtained during a hand enrollment opera:i4n cycle. Hand bid data is stared and comprises hand f~aature data obtained during a hand bid operation cyel,c. A comparis4n means compmres hand bid data with hand enrollment data to decide on the basis of prearranged deci3ion criteria whether the hand bid data and the hand enrollm~3nt data were produced by the same hand portion.
The advantage of obtaining fir~gcr heig:at characteristics nn individual fingers using a di,splaeement image approach i,3 that both the hand enrollment ~~ata and the hand bid data can incorporate hand feature data :Oared on a larger number of features. This provides improv~ad discrimination i;1 the process of comparing hand '72867-10
6 enrollment data arid hand bid data and result in an overall improvement in accuracy of the machine.
,", tn arts em ~adiment, the system includes support means for supportin0 a portion of a person's hand inciudinp at least a plurality of fingers in aprAad pasitior,s.
The means for producing and staring a silhouette image compri_~es the combination of .b image capture means for viewing the hand portion and the support means from a prearrar ged first direction, ittuminatian means far illuminating the hand portion and the support means to present a silhouette image of the hand portion to the image capture maar~c, and storage means for storing at least a portion of the silhouette image w presented t4 the image capture means.
~w The means for producing and storing a displacement image cornprises the t 5 combination of image capture rneans for viewing the hand portion and the platen from a prearranged second viewing direction, .. illumination me~rts for directing a structured light pattern onto at feast '.
one of the fingctrs from a. prearranged direction substantially different ~V4 93/164.41 ~ ' PCT/tJS~3/001$45 w _ 21~~4~.~
7 from the second viewing direction to present to the image capture means a ' displacement image comprising an element of the structured Eight pattern striking a surface region of at least one of the fingers at a position displaced from a precalibrated striking position on a predefined background plane in the absence of the finger, the magnitude of the position displacement providing the finger height characteristic data: and storage means for storing at least a portion of the displacement image.
The term "structured light" is used to signify Illumination with a carttrolled divergence and angle of incidence, generally with these characteristics:
1. illuminates only selected portions of the field of view;
2. arranged so that it is not coaxial with the line of view of the image image capture means; and 3. is intended for use in three dimensional profile measurement.
By using a structured light pattern which illuminates the fingers from above, finger height characteristic data on individual fingers is achieved without requiring an additional reflective surface or a mirror in the region of the support means or platen. This enables the overall platen and optics to occupy a substantially smaller volume. The complexity of the structured light pattern can be tailored to system requirements for discrimination and accuracy. Sufficient discrimination and accuracy can enable the system to operate in an W~ 93/Ifi441 ~ ~ ~, ~ ~ ~ ~ ~'CT1U593/00845
8 auto-identification mode, i.e. a mode in which the system itself identifies the person as one of a plurality of enrolled persons by comparing the hand bid data with a plurality of sets of hand enrollment data. Elimination of the requirement to enter manually an identification code makes system operation more simple and user friendly. An equivalent level of discrimination can be achieved by using more finger height characteristics features and fewer fingers, enabling a further reduction in platen size and optical system volume.
A further refinement in this case can be to use very fine structured tight elements directed onto areas which include the finger knuckles. These can be used to generate knuckle location and profile characteristics which can provide further hand feature data.
Another embodiment of this invention features the same combination of elements as set forth above to produce the silhouette image, but the combination of elements that produce the displacement image comprise the same image capture .means, and a second illumination means for illuminating the hand portion and the platen from a direction substantially different from the prearranged direction to present a displaced shadow image of the hand portion to the image capture means, the displaced shadow image having the outline of one side of each of the fingers of the hand portion displaced from the corresponding portion of the silhouette image and providing finger height characteristic data.

WO 93/16441 ~ ~ ~ ~ ~ ~ ~ PGT/tJS93/00845 ,' . -
9 The finger height characteristic data here is different from that produced by a structured light pattern in the previously discussed embodiment, but provides the same facility for extracting hand feature data related to a third dimension.
Thus the advantage of additional hand feature data and accompanying improvements in discrimination and accuracy is also present in this case. The displaced shadow image is of approximately the same size and form as the silhouette image and may therefor be analyzed in a similar manner to the silhouette image.
Alternatively, a more direct method to generate width difference data can be employed.
In a specfic and currently prs:erred embodiment of the invention, the t0 support means is a platen having a substantially retro~reflective surface.
The area of the platen is preselected to accomodate the entire length of two fingers of a hand placed thereon and the platen surface is curved to accomodate the natural curvature of human fingers in a relaxed state. This form of platen has the advantage of achieving reproducible finger size and area and finger height characteristics since the fingers will lie more naturally on the platen with bottom surfaces in contact with the platen surface without pressure that deforms the fleshier parts of the fingers to be wider than they are in a natural, undeformed state.
In this embodiment the first illumination means is a combination of a circular array of light sources mounted in a position above the back portion of the platen and a mirror mounted in a position above the light sources. The light sources are directed upward toward the mirror at an angle and reflect from the mirror to the platen to praduce a substantially uniform flood lighting of the platen and any hand portion placed thereon.

WO 93/16441 PC°T/~JS93/00845 ~1~~~~~ ..
,o The image capture means comprises an image forming lens and an image sensing device mounted coaxial with the circular array of light sources and having a viewing direction toward the mirror for capturing a mirror reflected image of the platen and any hand portion placed thereon.
In this preferred embodiment, the second illumination means comprises a light source array comprising at least a pair of light emitting diodes, a light baffling arrangement far the LEDs, a fens for forming the LED light into structured light beams and a second mirror for directing the structured light beams onto the platen. The light source and baffle 1 Q arrangement mounts the pair of light emitting diodes in side by side relation at a position above and to one side portion of the platen and below the mirror. It provides a forward baffle structure to form light from the diodes into a light beam directed generally parallel to the mirror and blocking light from the diodes from directly striking the mirror or the platen which would form unwanted light patterns. The lens is mounted forward of a front edge of the mirror to avoid obstructing the view of the platen. The second mirror is mounted forward of the lens and directs the structured line beam pattern onto the platen at a prearranged position adapted for striking at least one finger placed on the platen.
In a specific version of this preferred embodiment, the lens is a cylindrical lens to focus light from the pair of diodes into a line segment beam. The cylindrical lens and second mirror combine to focus the W~ 9311641 PCT/US93J0084j l line segment beam and direct the line segment beam onto the platen at a region such that the line segment beam intersects each of two fingers positioned on the platen. Preferrably, the light source array comprises a plurality of pairs of light emitting diodes and the light baffle means supports each of the pairs of light emitting diodes at vertically separated positions. The baffle arrangement has separate forward baffle structures associated with each pair of LEDs to farm light emitted from each of the associated pairs of diodes into separate beams directed through the cylindrical lens onto the secand mirror and to block emitted light from directly striking the mirror or the platen. The cylindrical lens and the second mirror combining to focus each of the separate beams into line segment beams and to direct the line segment beams onto the platen such that each of the line segment beams intersects fingers positioned on the platen at different positions along the axis of each of the fingers. The cylindrical lens is mounted in its own baffle arrangement which precludes light from the diodes directly striking the second mirror without passing through the lens and thereby precludes forming unwanted light patterns on the platen.
The preferred embodiment also employs a finger guide means mounted on the platen for defining finger placement positions and thereby to assist a person in achieving consistently reproducible finger orientations during a hand bid operation cycle and thereby defining finger location regions on the platen. The lens forms the light from the light source array into a structured light pattern comprising a plurality of separate light beams which are directed by the second mirror into small light spots illuminating PC: T~'L1S93/a0~45 WO 93/164~d1 ' ~ ~ 2 the platen at preselected points within the finger location regions.
This feature provides the advantage of increasing the reproducibility of finger positioning relative to the location of the structured light pattern elements which provide the finger height characteristic data. This improves the overall discrimination capability of the system.
Another aspect of this invention features a method for recognizing a person's identity based on measurements performed on the person's hand.
This method includes the step of disposing a support means on which at least a portion of a person's hand including a plurality of fingers may be placed. By illuminating the support means and the hand portion thereon with a substantially uniform flood of light, a silhouette image of the hand Y portion is produced and the method also includes capturing and storing silhouette image data representing the silhouette image. Another step of the method is illuminating the support means and the hand portion with a light source which produces a displacement image of the hand portion which can be correlated with the silhouette image to produce measurement data on finger height characteristics. ~ispiacement image data representing the displacement image is captured and stored and then the stored silhouette image data and the stored displacement image data are analyzed to produce hand feature data.
The method aspect of this invention also features performing this series of steps recited above during a hand enrollment operation cycle to produce hand enrollment data and also during a hand bid operation cycle to produce WO 93/1641 . PC.T/US93/Og8dS
~12~~~~' hand bid data. The method also includas comparing the hand bid data with the hand enrollment data to decide on the basis of prearranged decision criteria whether the hand bid data and the hand enrollment data were produced by the same hand portion.
The method ofi this invention thus produces the same advantages as are set forth above relative to the apparatus of the invention. These will not be repeated here.
Other objects, features and advantages of this invention uvili be apparent from a consideration of the detailed description of various embodiments which is set forth below.
Brief Description of the Drawings Figs. 1-4 are schematic views of portions of one embodiment of this invention and useful in illustrating the principles of the invention.
Fig. 5 is a block schematic diagram showing apparatus in accordance with this invention and useful in illustrating the principles of the invention.
Figs. 6-9 are schematic views of portions of an alternative embodiment of this invention and useful in illustrating the principles of the invention.
Figs. 10 and 1 1 are diagrams that illustrate another alternative embodiment of this invention in which a different structured light pattern is utilized.

7287-1~

Figs. 12A and 1 Zg are diagrams that illustrate another alternative embodiment of this invention involving a double sided viewing arrangement.
,";
Fig. 13 is an isometric view of a two finger imaging embodiment of apparatus in accordance with this invention.
,.
Fig. 14 Is a p~tn:ly sectioned Side eievational view of the apparatus of Fg.

showing the genera arrangement .of components of this invention.
Fig. 15 is a ':op section view of the apparatus of Fig. 1:3 talc~n generally .:
r' Along the llneS 15-15 In Fig. 13.
Fig. 1 fi is a partly sectioned front view of the apparatus of Fig. 13 taken generally along the lines 1 B-3 ~ in Fig. 14.
., Fig. 17 illustrates the structured light pattern produced by tYie system of Figs.
13-17 during operation of one aspect of the system.
F;g. 18 is a partly sectioned elevation view of arl illumination and image capture assembly useful in this invention.
Figs. 19 and 20 are top and partly section side views of an alternative embodiment of this invention.
Fig. 23 is a d agram useful in explaining certain features o~f this invention.

Wt~ 93/t644t ~ ~ ~ ~ ~ ~ ~ PCT/US93/00845 Fig. 22 is a perspective view of an, alternative hand support arrangement useful in accordance with this invention.
DETAII:ED DESCRIPTION OF EMBODIMENTS
General Principles of the Invention 5 From an apparatus viewpoint, this invention is a biometric measuring system for secognizing a person's identity based on measurements performed on the person's hand. The term "biametric" generally refers to use of measurements of a person's physical characteristics as a basis far recognition of the person, typically by a madhine.
10 The-phrase °'recognizing a person's identity" is used in a general sense to cover two different but related concepts involving comparing currently obtained biometric feature data with previously stored biometric feature data: 1. using the person's hand, in this case, to verify that he is the enrolled person that he claims to be; and 2, using the person's hand to identify the person as one of the 15~ persons who are enrolled on the system. The differences and the meaning of these two concepts will be discussed in more detail below.
The broad conceptual principles of this invention will first be described in connection with Figs. 1-11 and then a detailed description of an actual apparatus embodiment of the invention will be given.
This invention, in one broad conceptual sense includes these elements:

WO 93116441 ~ ~ ~ Q~ ~ ~ ~ PCT/US93I00845 a. means for producing and storing a silhouette image of at least a portion of a person's hand including a plurality of fingers.
Referring to Figs. 1-1 1, it is seen that "means" referred to here are designated with the reference numeral 10 and generally involve use of a silhouette image illumination means 12 and an image capture means 11 for producing a silhouette image and silhouette image store 13 as the means for storing that silhouette image. Control interface means 31 also serves as part of this means in the sense that it controls the operation of the silhouette image illumination means 12 and the image capture means 1 1 and the silhouette image store means 13.
b. means for producing and storing a displacement image of the same portion of a person's hand which can be correlated with said stored silhouette image to provide measurement data on finger height characteristics;
The "means" referred to here are designated with the reference numeral 20 and generally involve the use of a displacement image illumination means 21 and image capture means 1 i for a separate image capture means, as an alternative) for producing a displacement image. Displacement image store means 21 A is the means for storing that displacement image. Control interface means 31 also serves as part of this means in the sense that it controls the operation of the displacement image illumination means 12 and the image capture means 11 and the displacement image store means 21 A.
The term "displacement image" is used as a generic descriptor for an image that involves a geometric displacement of some portion of the image due to the vv~ ~3r'~aal p~rru~g3roosas ~~~~~~~
relationship between the illumination means and the finger structure with the amount of the displacement related to the "finger height characteristics" at the point or region that the displacement has occurred.
Two different types of displacement image illumination means and two different types of displacement image are shown in the embodiments of Figs. 1-and Figs. 6-9. The "displacement image" is taken with reference to a background image plane, usually but not necessarily a platen on which the persan's hand is resting. The term "finger height characteristics" is used rather than "finger thickness characteristic" to reflect the fact that, in some cases, the person's fingers may not be in contact with the platen or may not have their bottom surfaces all in the background image plane: Thus "finger height characteristics" relates to the height above the platen of the finger portion producing the image displacement characteristic or, mope generally, the height above the background image plane.
The meaning of these terms will become more clear from the detailed description i ~ below of the two embodiments.
The phrase "correlated with said stared silhouette image" is used in a general sense to refer to the ability to use infarmation from the silhouette image to determine what portion of the displacement image relates to what portion of the silhouette image. It also signifies the ability to use information from the silhauette image to select a point or region of the displacement image to analyze or perform some measurement on relative to extraction of some hand feature data element. The meaning of this will be more clear from the detailed description of the two different displacement image types and characteristics given below. It is advantageous if the time interval to capture all of the images is small enough WO 93/1b441 )PCT/US93/t)0$45 ~12~~~.1 1~
such that no significant hand movement could occur, but the invention is not restricted to such a case. It should be understood that spatial correlation of the two images is implicit if the same image capture means is utilized for both images. !f separate image capture means were used, then some reference marks viewable by both imaging capture means are likely to be required to permit accurate correlation of the images.
c. means for analyzing said stored silhouette image and said stored displacement image to produce hand feature data, including hand feature data derived at least in part from finger height characteristics.
The °'means" referred to here is the image analyzer means 30 iFig.
5) which functions together with the control interface means 31 which controls the reading of the stored image information from silhouette image store means 13 and displacement image store means 21 A. The image analyzer means 30 basically performs hand feature extraction and places the extracted feature data in one of the hand enrollment data store means 40 or the hand bid data store means 50.
d. means for storing hand enrollment data comprising said hand feature data obtained during a hand enrollment operation cycle.
This "means" is the hand enrollment data store means 40 together with the control interface means 31 which determines whether this is a hand enrollment data cycle or a hand bid data cycle and thus controls placing the hand feature data into hand enrollment data store means 40 rather than the hand bid data store means 50.

'~V~ 93/16441 P~T/US93/00~45 2~284:~~.
e. means for storing hand bid data comprising said hand feature data obtained during a hand bid operation cycle This "means°' is the hand bid data store means 50 together with the control interface means 31 which determines whether this is a hand enrollment data cycle or a hand bid data cycle and thus controls placing the hand feature data into the hand bid data store means 50 rather than the hand enrollment data store means 40.
f. means for comparing hand bid data with hand enrollment data to decide on the basis of prearranged decision criteria whether said hand bid data and said hand enrollment data were produced by the same hand portion.
This °'means'° is the comparison and decision means 60 which functions along with control interface means 31 to take the hand feature data from both the hand enrollment data store means 40 and the hand bid data store means 50 and compare it using a decision criteria to make a decision on whether the hand feature data in each is essentially the same.
To distinguish or differentiate the principles of the invention incorporated into the two different embodiments of Figs. 1-5 and Figs. 5-9, the following discussion will be illustrative.
The embodiment of Figs. 1-5 utilizes a structured light saurce which proaiuces displacement image in the form of a displacement of a bright image element as shown in Figs. 3 and 4. This embodiment can be considered to have the W~ 93/164~i1 .. PLT/US93/00>$45 combination of elements described abovs, but more specifically implemented in with the following specific elements.
Support means 7~, typically a platen (but see Fig. 22 and the associated discussion below for alternativesD are provided for supporting a portion of a 5 person's hand including at least a plurality of fingers in spread positions as shown in each of the figures. In this case the means for producing and storing a silhouette image comprises the following elements specifically: image capture means 11 for viewing said hand portion from a prearranged image viewing direction which is preferably directly above or sighting generally along the axis of the two 10 central fingers in the field of view. A first illumination means, the silhouette image illumination means 12. is operative during a silhouette image capture period controlled by control interface means 31 for illuminating the hand portion to ,.i.
present a silhouette image as shown in Fig. 2 of the hand portion to said image capture means 11. A first storage means, i.e. silhouette image store means 13.
15 is provided for storing at least a portion ofi the silhouette image. In general it is preferred that the entire image pf a plurality of fingers and a portion of the back of the hand be stored. "Storage" of the silhouette image includes a number of possible storage schemes from storing each pixel to storing a compressed data version of the silhouette image using some data compression algorithm, such as run 20 length or perimeter encoding.
The apparatus also includes a specific combination of elements for producing and storing a displacement image. This combination is the image capture means 1 1, a second illumination means in the form of structured light source 21 A which is operative during a displacement image capture period (controlled by control i~VO 93/16441 PCTlLJa93100845 ~~.2~4~1 interface means 31 ) for directing a structured light pattern onto at least one of the fingers from a prearranged direction substantially different from the image viewing direction. The result is presentation to image capture means 1 1 of a displacement image comprising an element of said structured light pattern striking a surface region of at least one of said fingers at a position (24 or 26) displaced from a precalibrated striking position i25 or 27) on a predefined background image plane in the absence of the finger. The magnitude of the position displacement provides the finger height characteristic data. The storage means in the form of displacement image store means 22, stores at least a portion of the displacement image, and in this case the image could be windowed if desired to store only the data associated with the portions of the displacement image that actually contain useful information.
,,w The image analyzing and the storage of hand enrollment data and hand bid data to use in the comparison means involve elements of the invention as described above. These elements of the invention do not vary in form between the two embodiments, but of course the actual operation of the image analyzer means 30 may vary and the features involved in the hand enrollment data and hand bid data may be differdnt for the two cases. The comparison and decision processes and algorithms may also be specific to the features that are extracted and stored in hand enrollment data store means 40 and hand bid data store means 50.
The embodiment of Figs. 5-9 utilizes an illumination means which produces a displaced shadow image as shown in Fig. 9. The displaced shadow image means that a portion of one side of the fingers has a shadow displaced from that of the silhouette image produced by the silhouette image illumination means 12. This Vd0 93/16441 PGT/US93/00845 '~~,~.~~~~.~ 22 embodiment also uses a support means 70 for supporting a portion of a person's hand including at least a plurality of fingers in spread positions. In this case if the support means is not a platen it should include an optical background plane located a short distance behind said hand portion since a displaced shadow image needs to be formed as close to the underside of the hand as possible to avoid a degree of displacement which tends to obliterate the information as the displaced shadow merges with the shadow formed by the adjacent finger.
In this embodiment the same combination of elements are utilized for producing and storing the silhouette image and the description will not be repeated.
The means for producing and storing a displacement image comprises this combination of elements: the same image capture means 11 together with a second illumination means 21 B which illuminates the support means 70 or an optical background plane and the fingers from a direction substantially different from the prearranged direction of the silhouette image illumination means 12 as best seen in Fig. 8. This results in a displaced shadow image of said hand portion being presented to image capture means 11. As shown the displaced shadow image has the outline of one side of each of said fingers of said hand portion displaced from the corresponding portion of said silhouette image. More specifically, the regions DS1 through DS4 shown as crosshatched regions in Fig. 9 represent the region of displaced shadow.
As shown in Figs. 8 and 8A, the degree of displacement of the shadow image is related to the combination of the finger thickness and the height of the bottom of the finger above the support means or platen. The shadow displacement increases with increasing height of the shadow producing surface of the finger. Thus the Wf~ 93/164~t1 PGT/~1593/00845 ~~ ~c amount of the shift between the silhouette image and the corresponding point on the displaced shadow image gives a basis for deriving finger height characteristics. The information in the silhouette image shown in Fig. 7 may be correlated with the information in the displaced shadow image of Fig. 9 in a number of ways. For example, the displaced shadow region itself may be determined by subtracting the silhouette image from the entire displaced shadow image and then analysis can be performed on just that image data.
Variations on the Structured Light Embodiment Referring now to Figs. 3 and 4 together with Figs. 10 and 1 1, it will be seen that the embodiment of the invention which utilizes structured light can take a number of different specific forms. Figs. 3 and ~ show schematically the generation of structured light in the form of two line segments 22 and 23. it should be apparent that only one such line segment could be utilized or more than two such line segments, placed closer together, could also be utilized. While the 1 ~ line segments 22 and 23 are shown as straight line segments parallel with the edges of platen 70, it should be apparent that curved line segment beams could be generated and straight fine segment beams that are canted relative to the edges of the platen 70 could also be employed.
In Fig. 11, a plurality of finger guide devices 71, 72, and 73 are shown.
These finger guide devices assist the person using the apparatus in achieving a consistent finger orientation. As a result, a structured light pattern in the form of individual beams of light may be utilized with the position at which such beams strike platen 70, shown as the dotted light spots 28A through 28F, oriented such that some portion of the beams will strike the top of a finger along the WO 93/16441 PCT/~3593/00845 ~1?s41~

finger axis. The size and shape of the light beam and corresponding light spot produced need to be set such that fingers of varying width will be accommodated.
The number of light beams in the pattern may be varied depending on the amount of finger height characteristic data that is needed or desired for a particular application of the invention. In general, the more light beams that are included in the structured light pattern, the more finger feature information that can be extracted.
Each of the displacement values H11 through H32 is a measure of a local finger height characteristics in the sense that the greater the height of the surface struck by a particular beam relative to the background image plane, the greater the displacement between the precalibrated spot on the image plane that would be struck by the beam in absence of the finger and the spot actually struck by the beam. As shown in Fig. 10, if a bottom surface of a finger region is off of the image plane, the apparent finger height will be greater and the spot displacement will be larger. The structured light beam is unable to distinguish between the contribution from finger thickness and from a raised finger, but the feature data that can be obtained from this displaced image will be useful if the person's hand position is generally reproduced from one use of the machine to the next and particularly if the hand position during the hand enrollment operation cycle is reproduced during the hand bid operation cycle.
As shown in Fig. 10, the difference in beam impingement direction and image viewing direction produces the displacement and this difference needs to be substantial. However, this requirement of different viewing direction does not place any significant limitation on the system. It should be understood that WO 93/16441 PC"T/US93/00845 _, 21~,~~~.~.
there is benefit in using the same image capture means 1 1 for both the silhouette image and the structured light image, but it is not absolutely required that a single image capture means be used. Precalibration of the system is required in any event. It should also be understood that in this case of the use of a 5 structured light source, it would be possible to merge the silhouette image and the displaced structured light image into one image and store the combined image in a single storage means. Depending on the components used, both images could be presented simultaneously to the image capture means 11 and stored in a single image store means.
10 Double-Sided Imaging System Alternative As described above, structured light may be employed to strike the upper surface of the hand and fingers. Alternatively, it may be employed to strike the underside of the hand dpalm) or the underside of the fingers. !t can also be arranged to strike both sides of the fingers at the same time, enabling true 15 thickness features to be derived from displacement measurements. One, two or more image sensors can be used as well as one, two or more sources of structured light. Figs. 12A and 12B illustrate one double sided imaging embodiment, using two sources of structured light 21 B, 21 G and one image capture means 11.
In this embodiment, the hand rests on a hand support 75 consisting of a glass 20 plate which is transparent to the wavelengths of light being used. Plate 75 carries a finger location peg 77 of a known and calibrated height, and the finger lies adjacent to it. Plate 75 is spaced above an optical background plane ?(a, which is retroreflective and enables silhouette images to be captured by image capture means 1 1 using an appropriate illumination means (not shown). This W~ 93!164d1 ~ ~ ~ ~ ~ ~ PC.'TlUS93l00845 spacing enables mirror 78 and structured fight source 21 C to be situated below the general level of the hand resting on support 75. Structured light source 21 B
directs a line segment pattern onto the top of peg 77 and the area adjacent where a finger is expected to be placed. Structured light source 21 C directs a line segment pattern onto the underside of peg 77 and the area adjacent where the underside of the finger is expected to lie. Mirror 78 is angled so that light from the underside of the finger and from the underside of the peg is reflected toward the image capture means 11. The field of view of the image sensor includes the top surfaces of the finger and peg, and also the mirror 78 showing the undersides of the finger and peg.
~Illhen illuminated, the structured light patterns on the finger exhibit displacements from the structured light patterns an the top and undersides of the .~~ peg. These appear in a composite image to the image sensor, and analysis of this image together with knowledge of the height of the peg enables both finger height characteristics and finger thickness features to be measured.
General Operation Sequence The use of the apparatus of this invention generally involves first performing a hand enrollment operation cycle in which the person is enrolled on the system.
The person presents his hand in the machine and hand enrollment data is taken and stored, The machine automatically takes bath the silhouette image and the displacement image of the hand being enrolled and performs the image analysis and storage functions. As an alternative to capturing one set of images, a plurality of sets of images can be taken with the hand in slightly different positions each 1~V~ 93/1441 T'f.°T/US93/00845 :~~ ~-~4~~.

time. Hand enrollment data sets corresponding to each may be stored and later used in the hand bid operation cycle.
~uring a hand bid operation cycle, the person presents his hand to the machine and the machine goes through the image taking and analysis process and stores the hand bid data. To determine if the machine recognizes the person based on the hand presented, the machine requests input of a P1N code by the person to use to find the hard enrollment data corresponding to that person if the machine is operating in a verification mode. The PIN code may be entered by a keyboard such as keypad 41 shown in Fig. 5 or by any other input device, such a s :a card reader, bar code wand reader, or the Bike. If the machine is operating in an identification mode, the machine compares the hand bid data with a plurality of hand enrollment data sets to determine if the machine can automatically identify the person as one ~~ who has been previously enrolled. All hand enrollment data sets may be checked and compared with the hand bid data anti! the machine finds the one which sufficiently matches or else rejects the hand bid data as relating to a person not enrolled. Alternatively. the machine may be set up to store hand enrollment data in subsets based on some hand feature data and then that hand feature data is used to recall the pertinent data sets for comparison purposes.
Specific Embodiment Referring now to Figs. 13-18, a specific embodiment of two-finger version of a hand analyzing apparatus 100 in accordance with this invention will be described. Platen 101 has a ratro-reflective surface 102 formed thereon. As shown in Fig.l4, platen 101 is curved from front to back to provide a natural feeling support surface far two fingers of a person's hand. An illumination and image wo 93iabaaa ~crius~3ioos~as 2~~~~~I .

capture assembly 103, shown in detail in Fig. 18, is mounted in a central position above platen 101 as best seen in Figs. 14 and 16 and is supported on mounting support 103A.
As shown in Figs. 13 and 14, a top housing and support arrangement 104 includes in its interior a mirror 107 mounted to the underside of a support plate 115.
A structured light illumination arrangement 108 is mounted above .and to the right of the illumination and image capture assembly but underneath nnirror 107. As shown in Fig. 14, support plate 115 is mounted at an angle such that the light from illumination and image capture assembly 103 will be reflected by mirror 107 and produce substantially uniform illumination of platen 101. It should be understood that other arrangements of illumination and image capture assembly 103 and mirror i 07 could also be used such as the one shown in Figs. 19 and 20 and described below. Figs. 19 and 20 also show the use of other types of structured light source arrangements.
Structured light illumination arrangement 108 comprises a plurality of pairs of light emitting diodes 109A, 1098, 109C which are mounted within a light baffling arrangement 110. The LEDs are recessed within the baffle arrangement so that the light emitted therefrom is blocked by the baffles from directly striking mirror I 107 or platen 101. The forward openings 111 A, 1 11 B, and 111 C permit light from tha LEDs to travel generally parallel to mirror 107 to pass through cylindrical lens 114 which is mounted in front of a forward edge of mirror 107 so as not to interfere with imaging of the platen by the image capture assembly. Mirror 113 mounted forward of cylindrical lens 114 reflects the three line segment beams formed in lens 114 onto platen 101. Strictly speaking, each of the t_EDs is PC)r°°>US93/00~45 _ W093/164~41 ~~~~~~~

focused into a separate line segment but these line segments from each side by side pair of LEDs overlap to form one line segment h~4:w at the platen as shown in Fig. 17. Separate baffles 1 14A and 1 14E Jn lens block light paths from the LEDs to the mirror 1 13 except those which pass through lens 1 14. This precludes unwanted light reaching platen 101 via mirror 113.
A finger placement peg 106 is mounted on platen 101 to assist in reproducible positioning of two fingers in the orientation shown in Fig. 17.
By placing the two fingers with sidewal) portions touching peg 106, and with the web support portion of the fingers on the forwardmost part of the platen 101, good reproducibility of finger positioning from one hand presentation tune to the next is assured. V~iith the base joint portians of the fingers supported on the forward portion of the platen 101, the weight of the hand is supported in this area which is less deformable than the fleshy parts of the fingers. The combination of this~.~
support with the curved platen gives good finger size and width reproduction from one hand presentation, to another. The overall platen support arrangement with the tapered front wall permits placement of the other fingers of the presented hand in either a folded orientation or a spread orientation. Also, the fingers presented may be the first two fingers of either right or left hand.
It should be understood that this structured light source arrangement could be modified to produce different forms of structured light, such as fewer or more line segment beams or other structured fight patterns such as the one shown in Fig. 1 1. These could be generated by suitable arrangements of light sources, baffles, and beam forming lenses and mirrors. It will be appreciated that the folded optics arrangements shown in the Figures conveniently reduce the overall WO 93/16441 PC'T/LJS93/OU845 size of the apparatus, but are not essential. The placement of the structured light source arrangement 108 underneath the mirror 107 provides a compact unit, but is not essential. Placement above the mirror could be provided with basically the same folded optics arrangement. Also, direct illumination arrangements using 5 just a light source and lens cold be implemented if desired and if space constraints are not present.
Referring to dig. 18 one arrangement of the component parts of illumination and image capture assembly 103 will be described. A plurality of light emitting diodes 130 are arranged in a circular configuration and mounted on a circular 10 support plate 131. Aperture plate 132 has an image forming aperture 133 formed in the center thereof and rests on a shoulder of fens holding cylinder 136. A
.
retaining circlip 134 is employed to press support plate 131 and aperture plate 132 down onto shoulder 136A to retain lens 135 in position. Lens holding cylinder 136 has a central aperture 1368 formed therein so that the image formed by light 15 entering thraugh aperture 133 is focused by lens 135 onto an image capture device 139. Image capture device 139 is mounted on a circuit board 138 which is mounted to the bottom of outer support cylinder 137. A set screw 140 is used to retain lens holding cylinder 136 in a position in which the image is accurately focused onto image capture device 139. Table I below contains a listing of component 20 types which have been used in constructing a working prototype of this invention.

!WO 93/16441 PCT/IJS93/gg845 ~~2~4~.1 TABi.E I-- COMPONENT TYPE EXAMPLES
light emitting diodes 109: Opto Diode Corporation, U.S.A., Part No.
OD-8810, (wavelength = 880 nanometers) light emitting diodes 130: Opto Diode Corporation, U.S.A., Part No.
OD-8811, (wavelength = 880 nanometers>
mirrors 107 and 113: "Standard" 2 mm thick mirror section.
cylindrical lens 114: Combined Optical Industries, Ltd., Slough, U.K. Part No. 5571 t 0 lens 135: Edmunds Scientific Co., U.S.A., Part No. C32,402 (f = 3.8mm1 image capture device 139: Texas Instruments, Austin, TX, U.S.A., TC211 with an optical filter from Kodak available from Comar Instruments, U.K. Wratten filter No. 87, Comar Part No.
794WY75 (cut-off < 794 nm?
retroreflective surface 102: 3M Carp., Scotchlite 68010 dV0 93/It~441 ~CT/LJS93/00845 It should be understood that these are given by way of example, and other parts from other suppliers having substantially the same or even improved performance could be employed.
The LED components used in a working prototype emit infrared light at 880 nm. It should be understood that this invention is not limited to the use of any particular wavelength of light and, for example, LEDs which emit light in the visible red region could also be used. Infrared is preferred for the structured light source because it scatters and reflects well off of all types of skin colors.
It should also be understood that other illumination arrangements could be used to produce the silhouette image. For example, platen 101 with its retro-reflective surface 102 could be replaced with an electroluminescent screen or other uniform planar light source which would produce a shadow image of a hand portion placed thereon.
Figs. 19 and 20 illustrate one alternative embodiment of the optical image forming components of this invention. In this arrangement, a curved platen 145 is provided along with finger orientation pegs 146. The combination of these 1 features assists the persons using the device to achieve consistent finger positioning both in the sense of orientation of the fingers and maintaining contact of the bottom surface of the fingers with the platen. More reproducible imaging of the person's hand is thus achieved.
in this embodiment the illumination and image capture assembly 103 is positioned P~.'I'/iJS93100845 WO 9311 b441 .

at the center rear region of platen 145, which illustrates that various placements of the optical components are possible. Structured light arrangement 108 utilizes the same components as the arrangement previously described and these will not be repeated here.
As shown in Fig. 20, a mirror rotation means 148 is optionally utilized to provide controllable rotation of mirror 113 and thus to scan the structured light beam 120 across the fingers. One use of this arrangement involves moving the structured light beam to various registered finger locations for multiple measurements of finger height characteristics. The registered finger locations are preprogrammed into the system. Using this approach gives more finger locations at which finger height characteristics are determined.
Alternatively, by cross referencing information from the silhouette image, such as the position of a finger tip the structured light beam is scanned to a position on the platen 145 which is a predetermined distance from one of the fingertips and finger height characteristic data is thus taken at a consistently reproducible location on the associated finger. The hand feature data derived from the structured light displacement image data is thus more reproducible and produces more accurate discrimination.
Figure 21 shows a displacement image arising from one arrangement of a structured light pattern combined with the outline of a corresponding silhouette image. The dotted circles 160 represent finger location pegs which may optionally be employed. The dotted line segment 161 shows the position of a structured line segment during a calibrating image capture, and subsequent calibration analysis WO 93115441 ~~S .~ ~ ~ ~ ~ '~ P'GT/'1JS93/00845 w r- ~'~

can be used to find the centerline 162 of this undisplaced line segment. The line segment 161 intersects three fingers of the hand, resulting in displacement bright region patches 163-165. The general distance of each of these patches away from the calibration centerline is a measure of the finger height characteristic of each finger in the region of intersection.
One technique to define a general distance is to analyze the bright region to find its centroid, and then to measure the distance of the centroid from the calibration line 162. The resulting distance is approximately proportional to the height of the centroid of the bright patch above the optical background plane.
Vllhile generating a useful indicative measure of the finger thickness, this technique suffers from inconsistencies arising from changes of shape of the bright region as each hand presentation varies slightly.
Figure 21 also illustrates an improved technique based on characteristics derived from the silhouette image. First the silhouette image is analyzed to derive axis lines 166-168 for each finger. Techniques for doing this type of analysis are set out in the SRI Report referenced above and it is not necessary to describe them further here. As the geometry of the displaced image and the silhouette image are identical, the displaced image may be analyzed by examining each finger along its axis line to find the intersection of the axis with the displacement bright region patch. For the first finger this enables points SA and SB to be found, and their position can be averaged to produce point S1. The distance SL12 from SA to the calibration center line can now be found. This is approximately proportional to the finger height at point S 1. The other fingers may be treated in a similar manner. The use in this way of the silhouette geometry to guide the measurement WO 93!16441 ~ ~ ~ ~ ~ ~ PC'T/US93/001345 of finger height characteristics enables each characteristic to be measured from a more consistent location, thereby improving discrimination and accuracy.
It will be apparent to persons of ordinary skill in the pertinent art that various alternatives in addition to those described above could be employed with this 5 invention. For example, Fig. 22 illustrates an alternative hand support arrangement 150 comprising a combination of a palm support 151 and a plurality of separate finger supports 152 which together support a person's hand a distance above background image plane 15~. This type of hand support err<~ngement also serves the function of finger guide means which assist a person using the machine 10 to achieve reproducible finger orientation. It should be apparent that various other hand support arrangements could also be utilized.
While Fig. 5 illustrates a number of functional blocks involved in controlling a system in accordance with ibis invention. While these functional blocks could be implemented using discrete logic components, a dedicated microcomputer or 15 microcontroller arrangement is preferred. The organization of such a microcomputer system, including microprocessor, operating program memory, data memory, and various inputloutput interfaces is well known to persons of skill in this art and need not be shown or described here. The programming of such a microcomputer system to achieve dedicated functions far application to this 20 invention is well within the ordinary skill of real time operating system software engineers and the details of such a program are not liven here.
This invention has been described above in terms of its general principles and several embodiments and variations thereon. These descriptions are given by way WO 93/16441 PC'I'/U593/00845 of example only and not of limitation. Persons of skill in the art to which this invention pertains could make numerous changes without departing from the scope of this invention as claimed in the following claims.

Claims (36)

CLAIMS:
1. Biometric measuring apparatus for recognizing a person's identity based on measurements performed on the person s hand, said apparatus comprising:
means for producing and storing a silhouette image of at least a portion of a person's hand including at least one finger to provide a stored silhouette image, means for producing and storing a displacement image of the same portion of a person's hand to provide a stored displacement image from which measurement data on finger height characteristics can be derived;
means for analyzing said stored silhouette image and said stored displacement image to produce hand feature data, including hand feature data derived at least in part from said measurement data on finger height characteristics derived from said stored displacement image;
means for storing hand enrollment data comprising said hand feature data obtained during a hand enrollment operation cycle;
means for storing hand bid data comprising said hand feature data obtained during a head bid operation cycle; and means for comparing hand bid data with hand enrollment data to decide on the basis of prearranged decision criteria whether said hand bid data and said hand enrollment data were produced by tho same hand portion.
2. Apparatus as claimed in claim 2, further comprising support means for supporting a portion of a person's hand including at least a pair of fingers in spread apart positions;
and wherein said means for producing and storing a silhouette image comprises:
image capture means for viewing said hand portion and said support means from a prearranged first viewing direction;
first illumination means for illuminating said hand portion and said support means during a silhouette image capture period to present a silhouette image of said hand portion to said image capture means; and storage means for storing at least a portion of said silhouette image presented to said image capture means to provide said stored silhouette image;
said means for producing and storing a displacement image comprises:
said image capture means for viewing said hand portion and said support means during a displacement image capture period;
second illumination means for directing a structured light pattern onto at least one finger from a prearranged direction substantially different from said first viewing direction to present to said image capture means a displacement image comprising as element of said structured light pattern striking a surface region of at least one finger at a position displaced from a precalibrated striking position on said support means in the absence of a finger presented on said support means, the magnitude of said position displacement providing said finger height characteristic data; and storage means for staring at least a portion of said displacement image to provide said stored displacement image for later analysis using said stared silhouette image as a guide.
3. Apparatus as claimed in claim 2, wherein said support means is a platen haying a substantially retro-reflective surface and a two dimensional area for supporting at least a pair of fingers;
said first illumination means comprises a circular array of light sources for producing a substantially uniform flood lighting of said platen and any hand portion placed thereon;
said image capture means comprises an image forming lens and an image sensing device mounted coaxial with said circular array o~ light sources; and said second illumination means comprises a second array of light sources, aperture means mounted in front of said second array of light sources for forming light emitted from said second array of light sources into a structured light pattern, and lens means mounted in the path of said light emitted from said second array of light sources through said aperture means for focussing said structured light pattern onto said platen and any hand portion planed on said platen.
4. Apparatus as claimed in claim 3, wherein said first illumination means further comprises a first mirror supported in a prearranged orientation above said platen, and wherein said circular array of lights sources is mounted in a prearranged location generally adjacent said platen and oriented to direct output light beams emitted therefrom onto said first mirror to be reflected onto said platen;
and wherein said second illumination means further comprises a second mirror supported in a prearranged orientation above said platen and generally adjacent said first mirror for directing said structured light pattern onto said platen.
5. Apparatus ae claimed in claim 3, wherein said platen has a curvilinear shape from front to back thereof for aiding in positioning a hand portion such that major portions of the bottom surfaces of the fingers are substantially in contact with said retroreflective surface.
6. Apparatus ae claimed in claim 5, further comprising finger guide means carried on said platen for assisting in positioning a hand portion inserted thereon with consistently reproducible finger orientations from one hand insertion to another.
7. Apparatus as claimed in 1, wherein said means for storing hand enrollment data comprises means for storing a plurality of hand enrollment data sets, each of said hand enrollment data sets being associated with one of a plurality of slightly different finger positions of the same person's hand produced by multiple presentations of said hand on said platen so that said plurality of hand enrollment data sets may be utilized to produce more useful hand enrollment data during said hand enrollments operation cycle.
8. Apparatus as claimed in claim 3, wherein said aperture means comprises at least one elongated slit to form sand light from said array into a structured light pattern comprising at least one line segment beam, and said lens means focusses said line segment beam onto said platen at a region such that the line segment beam intersects at least one finger of a person's hand presented on said platen.
9. Apparatus as claimed in claim 8, wherein said aperture means comprises a plurality of separated elongated slits to form said light from said array into a structured light pattern comprising a plurality of separate line segment beams, and said lens means focusses said separate line segment beams onto said platen such that each of said line segment beams intersects a plurality of fingers of a person's hand presented on said platen at different positions along the axis of each of said fingers.
10. Apparatus as claimed in claim 3, further comprising finger guide means carried on said platen for defining finger orientations and thereby to assist a person in achieving generally reproducible finger orientations during presentation of the person's hand on said platen during said hand enrollment operation cycle and during subsequent hand bid operation cycles;

said aperture means comprises at least a plurality of separated apertures of preselected geometry to form said light from said array into a structured light pattern small light spots upon striking said platen and upon striking fingers of a person's hand presented thereon using said finger guide means, and said lens means focusses said separate light beams onto said platen at locations corresponding to said defined finger orientations.
11. Apparatus as claimed in claim 3, wherein said second illumination means further comprises means for scanning said structured light pattern relative to said platen to enable a plurality of hand enrollment data seta to be obtained during a hand enrollment operation cycle with each data set corresponding to a different position of said structured light pattern striking fingers of a person's hand presented on said platen.
12. Apparatus as claimed in claim 3, wherein said displacement image capture period is a separate period following said silhouette image capture period said second illumination means further comprises scanning means for scanning said structured light pattern relative to said platen;
and said apparatus further comprises:
means operative during said displacement image capture period for utilizing finger position information derived from said stored silhouette image to control said spanning means to move said structured light pattern to a preselected position on at least one of said fingers presented on said platen.
13. Apparatus as claimed in claim 1, wherein said means for analysing said stored silhouette image and said stored displacement image includes means for first analyzing said stored silhouette image to produce prearranged finger feature data and means for thereafter analyzing said stored displacement image using said prearranged finger feature data as a guide to analysis of said stored displacement image.
14. Apparatus as claimed in claim 1, further comprising support means for supporting a portion of a person's hand including at least a pair of fingers in spread apart positions, said support means including an optical background plane located a short distance behind said hand portion;
and wherein said means for producing and storing a silhouette image comprises:
image capture means for viewing said hand portion and said optical background plane from a prearranged direction;
first illumination means for illuminating said hand portion and said optical background plane from a prearranged direction substantially normal to said optical background plane to present a silhouette image of said hand portion to said image capture means; and storage means for storing at least a portion of said silhouette image presented to said image capture means to produce a stored silhouette image;

and said means for producing and storing a displacement image comprises:
said image capture means; and a second illumination means for illuminating said hand portion and said optical background plane from a direction substantially different from said prearranged direction to present a displaced shadow image of said hand portion to said image capture means, said displaced shadow image having the outline of the shadow of one side of each of said fingers of said hand portion displaced from the corresponding portion of said silhouette image and, storable means for storing at least a portion of said displaced shadow image to produce a stored displacement image which can be analyzed relative to said stored silhouette image to provide said measurement data on finger height characteristics.
15. In biometric measuring apparatus for recognizing a person's identify based on measurements of the person's hand, the combination comprising:
support means on which at least a portion of the hand of a person including at least a pair of fingers may be placed;
image capture means for viewing said support means from a prearranged image viewing direction and for capturing and storing an image of a hand portion placed thereon;
first illumination means for illuminating said support means and a hand portion placed thereon to present to said image capture means a silhouette image of said hand portion;
second illumination means for illuminating said support means and a hand portion placed thereon to present to said image capture means a displacement image of said hand portion which can be correlated with said silhouette image to provide measurement data on finger height characteristics;
image acquisition means coupled to said image capture means, said first illumination means and said second illumination means for operating said image capture means and said first illumination means during a silhouette image capture period to acquire and store said silhouette image of said hand portion to produce a stored silhouette image, and for operating said image capture means and said second illumination means during a displacement image capture period to acquire and store said displacement image of said hand portion to produce a stored displacement image.
16. Apparatus as claimed in claim 15, further comprising image analyzing means for first analyzing said stored silhouette image and for subsequently analyzing said stored displacement image using said stored silhouette image as a guide to produce hand feature data derived from both said stored silhouette image and said stored displacement image.
17. Apparatus as claimed in claim 16, further comprising means for storing hand enrollment data comprising hand feature data obtained during a hand enrollment operation cycle of said apparatus based upon an initial presentation of a person's hand on said support means;
means for storing hand bid data comprising hand feature data obtained during a hand bid operation cycle of said apparatus based upon a subsequent presentation of said person's hand on said support means; and means for comparing hand bid data with hand enrollment data to decide on the basis of prearranged decision criteria whether said hand bid data and said hand enrollment data were produced by the same person's hand.
18. Apparatus as claimed in claim 15, wherein said image capture means comprises a first image capture device associated with said first illumination means and a second image capture device associated with said second illumination means; and said image acquisition means is coupled to both said first and second image capture devices and operates said first image capture device and said first illumination means during said silhouette image capture period and operates said second image capture device and said second illumination means during said displacement image capture period, said second illumination means directing a structured light pattern onto a hand portion presented on said support means and thereby producing a structured light form of displacement image from which measurement data on finger height characteristics can be derived without correlation with said silhouette image.
19. Apparatus as claimed in claim 15, wherein said second illumination means comprises means operative during a displacement image capture period for directing a structured light pattern onto at least one of a pair of fingers presented on said support means from a prearranged direction substantially different from said prearranged image viewing direction to present to said image capture means a displacement image comprising an element of said structured light pattern striking a surface region of at least one finger of said pair of fingers at a finger striking position displaced from a precalibrated background striking position on a predefined background image plane in the absence of said pair of fingers on said support means, the magnitude of the distance between said finger striking position and said background striking position providing said measurement data on finger height characteristics.
20. Apparatus as claimed in claim 19, wherein said support means is a platen having a substantially retro-reflective surface, the area of said platen beings preselected to accommodate the entire length of two fingers of a hand placed thereon and said platen being curved from front to back to accommodate the natural curvature of human fingers in a relaxed state;
said first illumination means comprises a circular array of light sources mounted in a position above the back portion of said platen and a mirror mounted in a position above said light sources, said light sources being directed upward toward said mirror at an angle for producing a substantially uniform flood lighting of said platen and any hand portion placed thereon;
said image capture means comprises an image forming lens and an image sensing device mounted coaxial with said circular array of light sources and having a viewing direction toward said mirror for capturing a mirror image of said platen and any hand portion placed thereon; and said second illumination means comprises a light source array comprising at least a pair of light emitting diodes, light baffle means mounting said pair of light emitting diodes in side by side relation at a position above and to one side portion of said platen and below said mirror and having a forward baffle structure to form light from said diodes into a light beam directed generally parallel to said mirror and blocking light from said diodes from directly striking said mirror or said platen, a lens mounted forward of a front edge of said mirror and cooperating with said light baffle means to form a structured light beam pattern, and a second mirror mounted forward of said lens for directing said structured line beam pattern onto said platen at a prearranged position adapted for striking at least one finger of a person's hand when presented on said, platen.
21. Apparatus as claimed in claim 20, wherein said lens is a cylindrical lens, and said cylindrical lens and second mirror combine to focus said light from said diodes into a line segment beam and to direct said lines segment beam onto said platen at a region such that said line segment beam is positioned to intersect each of two fingers of a person's hand when presented on said platen.
22. Apparatus as claimed in claim 20, wherein said light source array comprises a plurality of pairs of light emitting diodes, said light baffle means mounts each of said pairs of light emitting diodes at vertically separated positions and has separate forward baffle structures associated with each pair of light emitting diodes to form light emitted therefrom into separate beams directed through said cylindrical lens onto said second mirror and to block emitted light from directly striking said mirror or said platen, said cylindrical lens and said second mirror combining to focus each of said separate beams into line segment beams and to direct said line segment beams onto said platen such that each of said line segment beams is positioned to intersect each of two fingers of a person's hand presented on said platen at different locations along the axis of each of said fingers, said cylindrical lens being mounted in a baffle arrangement which precludes light from said diodes directly striking said second mirror without passing through said lens and thereby precludes forming unwanted light patterns on said platen.
23. Apparatus as claimed in claim 20, further comprising finger guide means mounted on said platen for defining finger placement positions and thereby to assist a person in presenting two fingers of a hand in consistently reproducible finger positions during a hand bid operation cycle and thereby defining finger location regions on said platen;
said lens forms acid light from said light source array into a structured light pattern comprising a plurality of separate light beams which are directed by said second mirror into small separated light spots illuminating said platen at preselected points within said finger location regions and thereby striking the fingers of a person's hand presented on said platen at substantially reproducible finger positions.
24. Apparatus as claimed in claim 20, wherein said second illumination means further comprises means for scanning said structured light pattern relative to said platen to enable a plurality of hand enrollment data sets to be obtained during a hand enrollment operation cycle.
25. Apparatus as claimed in claim 20, wherein said displacement image capture period is a separate period following said silhouette image capture period;
said second illumination means further comprises scanning means for changing the orientation of said second mirror to move said structured light beam pattern to different positions on said platen during said displacement image capture period;
and said apparatus further comprises:
means operative during said displacement image capture period for utilizing said stored silhouette image produced during said silhouette image capture period to control said scanning means during said displacement image capture period to move said structured light pattern to a preselected position relative to at least one feature on one of a pair of fingers of a person's hand presented on said platen.
26. Apparatus as claimed in claim 16, wherein said image analyzing means for analyzing said stored silhouette image and said stored displacement image includes means for first analyzing said stored silhouette image to produce prearranged finger feature data and means for thereafter analyzing said stored displacement image using said prearranged finger feature data as a guide to analysis of said stored displacement image.
27. Apparatus as claimed in claim 15, wherein said second illumination means illuminates said hand portion and said support means from an illumination direction substantially different from said prearranged image viewing direction to present a displaced shadow image of said hand portion to said image capture means, said displaced shadow image having the outline of the shadow of one side of each of said fingers of said hand portion displaced from the corresponding portion of said silhouette image whereby said stored displacement image can be analyzed in conjunction with said stored silhouette image to provide finger height characteristic data.
28. In a method for recognizing a person's identity based on measurements performed on the person's hand the steps of:
a. disposing a support means on which at least a portion of a person's hand including at least one finger may be presented;
b. illuminating said support means and said position of a person's hand presented thereon with a substantially uniform flood of light to produce a silhouette image of said hand portion;
c. capturing and storing silhouette image data representing said silhouette image to produce stored silhouette image data;
d. illuminating said support means and said portion of a person's hand presented thereon with a light source which produces a displacement image of said hand portion which displacement image can be correlated with said silhouette image to produce measurement data on finger height characteristics;

e. capturing and storing displacement image data representing said displacement image to produce stored displacement image data; and f. analyzing said stored silhouette image data and said stored displacement image data to produce hand feature data.
29. The method of claim 28, further comprising the steps of:
A. performing steps a. through f. during a hand enrollment operation cycle to produce hand enrollment data;
H. performing steps a. through f. during a subsequent hand bid operation cycle to produce hand bid data;
C. comparing said hand bid data with said hand enrollment data to decide on the basis of prearranged decision criteria whether said hand bid data and said hand enrollment data were produced by the same hand portion.
34. The method of claim 28, wherein said support means is a platen;
said step c. includes viewing said platen and said portion of a person's hand presented thereon from a prearranged viewing direction; and said step d. comprises illuminating said platen and at least one finger of said portion of a person's hand presented thereon with a structured light pattern directed at said platen from a direction substantially different from said viewing direction to produce a displacement image comprising an element of said structured light pattern striking a surface region of said at least one finger at a position displaced from a precalibrated striking position on a predefined background image plane in the absence of said at least one finger the magnitude of said position displacement providing said finger height characteristic data.
31. The method of claim 28, wherein said uniform flood of light in step b. is directed at said platen from a first direction;
said step c. includes viewing said platen end at least two fingers of a hand portion presented thereon from a prearranged viewing direction; and said step d. comprises illuminating said platen and said at least two fingers presented thereon with light from a direction substantially different from both said first direction and said viewing direction to produce a displaced shadow image of said two fingers when viewed from said prearranged viewing direction, said displaced shadow image having the outline of the shadow of one side of each of said two fingers displaced from the corresponding portion of said silhouette image and providing finger height characteristic data.
32. The method of claim 30, wherein said platen is adapted to accommodate two fingers of a person's hand presented thereon and said structured light pattern comprises at least one line segment directed onto said platen to strike two fingers of a person's hand presented thereon.
33. The method of claim 30, wherein said structured light pattern comprises a plurality of separate line segments directed onto said platen to strike finger portions of a person's hand presented on said platen at separated finger locations.
34. The method of claim 30, further comprising the step of:
disposing finger orientation means on said platen for assisting a person in presenting a hand in a prearranged finger orientation thereon;
and wherein said structured light pattern is a pattern of spots directed onto said platen to strike points on said platen corresponding to said prearranged finger orientation and thereby to strike fingers of a person's hand presented on said platen at prearranged finger positions.
35. Biometric measuring apparatus for recognizing a person's identity based on measurements performed on the person's hand, said apparatus comprising:
means for producing a silhouette image of at least a portion of a person's hand;
means for producing a displacement image of the same hand portion;
means for analysing said silhouette image and said displacement image to produce hand feature data;
means for comprising hand feature data obtained during a hand bid cycle with hand feature data obtained during a previous hand enrollment cycle to determine if the person's hand was previously enrolled.
36. In a method for recognizing a person's identity based on measurements of performed on the person's hand, the steps of:
a. capturing a silhouette image of at least a portion of a person's hand;

b. capturing a displacement image of said portion of a person's hand;
c. analyzing said silhouette image and said displacement image to produce hand feature data; and d. comparing hand feature data obtained during a hand bid cycle with hand feature data obtained during a previous hand enrollment cycle to determine it the person's hand was previously enrolled.
CA002128411A 1992-02-10 1993-02-09 Apparatus and method for biometric identification Expired - Lifetime CA2128411C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US833,015 1992-02-10
US07/833,015 US5335288A (en) 1992-02-10 1992-02-10 Apparatus and method for biometric identification
PCT/US1993/000845 WO1993016441A1 (en) 1992-02-10 1993-02-09 Apparatus and method for biometric identification

Publications (2)

Publication Number Publication Date
CA2128411A1 CA2128411A1 (en) 1993-08-19
CA2128411C true CA2128411C (en) 2004-04-13

Family

ID=25263200

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002128411A Expired - Lifetime CA2128411C (en) 1992-02-10 1993-02-09 Apparatus and method for biometric identification

Country Status (7)

Country Link
US (2) US5335288A (en)
EP (1) EP0630504B1 (en)
JP (1) JPH07506917A (en)
AU (1) AU668543B2 (en)
CA (1) CA2128411C (en)
DE (1) DE69328775T2 (en)
WO (1) WO1993016441A1 (en)

Families Citing this family (192)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10361802B1 (en) 1999-02-01 2019-07-23 Blanding Hovenweep, Llc Adaptive pattern recognition based control system and method
US5335288A (en) * 1992-02-10 1994-08-02 Faulkner Keith W Apparatus and method for biometric identification
US7983817B2 (en) * 1995-06-07 2011-07-19 Automotive Technologies Internatinoal, Inc. Method and arrangement for obtaining information about vehicle occupants
DE4421242B4 (en) * 1993-06-17 2005-12-08 Pentax Corp. Image capture device for an identification system
US5528355A (en) * 1994-03-11 1996-06-18 Idnetix Incorporated Electro-optic palm scanner system employing a non-planar platen
US5594806A (en) * 1994-06-20 1997-01-14 Personnel Identification & Entry Access Control, Inc. Knuckle profile indentity verification system
US5862246A (en) * 1994-06-20 1999-01-19 Personal Information & Entry Access Control, Incorporated Knuckle profile identity verification system
US5802199A (en) * 1994-11-28 1998-09-01 Smarttouch, Llc Use sensitive identification system
US6230148B1 (en) 1994-11-28 2001-05-08 Veristar Corporation Tokenless biometric electric check transaction
US5870723A (en) * 1994-11-28 1999-02-09 Pare, Jr.; David Ferrin Tokenless biometric transaction authorization method and system
US7152045B2 (en) * 1994-11-28 2006-12-19 Indivos Corporation Tokenless identification system for authorization of electronic transactions and electronic transmissions
US20040128249A1 (en) 1994-11-28 2004-07-01 Indivos Corporation, A Delaware Corporation System and method for tokenless biometric electronic scrip
US7631193B1 (en) 1994-11-28 2009-12-08 Yt Acquisition Corporation Tokenless identification system for authorization of electronic transactions and electronic transmissions
US6012039A (en) * 1994-11-28 2000-01-04 Smarttouch, Inc. Tokenless biometric electronic rewards system
US6950810B2 (en) 1994-11-28 2005-09-27 Indivos Corporation Tokenless biometric electronic financial transactions via a third party identicator
US7882032B1 (en) 1994-11-28 2011-02-01 Open Invention Network, Llc System and method for tokenless biometric authorization of electronic communications
US7248719B2 (en) 1994-11-28 2007-07-24 Indivos Corporation Tokenless electronic transaction system
US6269348B1 (en) * 1994-11-28 2001-07-31 Veristar Corporation Tokenless biometric electronic debit and credit transactions
US6366682B1 (en) 1994-11-28 2002-04-02 Indivos Corporation Tokenless electronic transaction system
US5764789A (en) * 1994-11-28 1998-06-09 Smarttouch, Llc Tokenless biometric ATM access system
US6154879A (en) * 1994-11-28 2000-11-28 Smarttouch, Inc. Tokenless biometric ATM access system
US5805719A (en) * 1994-11-28 1998-09-08 Smarttouch Tokenless identification of individuals
US6397198B1 (en) * 1994-11-28 2002-05-28 Indivos Corporation Tokenless biometric electronic transactions using an audio signature to identify the transaction processor
US5613012A (en) * 1994-11-28 1997-03-18 Smarttouch, Llc. Tokenless identification system for authorization of electronic transactions and electronic transmissions
US7613659B1 (en) 1994-11-28 2009-11-03 Yt Acquisition Corporation System and method for processing tokenless biometric electronic transmissions using an electronic rule module clearinghouse
WO1996018981A1 (en) * 1994-12-14 1996-06-20 Aktsionernoe Obschestvo Zakrytogo Tipa 'blits-Tsentr' Method of carrying out financial clearing operations and an associated system
US5793881A (en) 1995-08-31 1998-08-11 Stiver; John A. Identification system
US6163616A (en) * 1995-12-29 2000-12-19 Feldman; Stephen E. System and method for verifying the identity of a person
US5745591A (en) * 1995-12-29 1998-04-28 Feldman; Stephen E. System and method for verifying the identity of a person
US5857028A (en) * 1996-01-11 1999-01-05 Frieling; Edward Computer access control by finger anatomy and comprehension testing
US5787187A (en) * 1996-04-01 1998-07-28 Sandia Corporation Systems and methods for biometric identification using the acoustic properties of the ear canal
US5897989A (en) * 1996-07-23 1999-04-27 Beecham; James E. Method, apparatus and system for verification of infectious status of humans
US6289107B1 (en) * 1996-05-23 2001-09-11 Nike, Inc. Apparatus and method of measuring human extremities using peripheral illumination techniques
US5748184A (en) * 1996-05-28 1998-05-05 International Business Machines Corporation Virtual pointing device for touchscreens
DE19632299A1 (en) * 1996-08-10 1998-02-26 Rene Baltus Handling of biomedical data for personal identification
CN1114171C (en) * 1996-08-27 2003-07-09 卡巴闭锁系统公开股份有限公司 Method and device for recognizing non-unrolled fingerprints
US7319987B1 (en) 1996-08-29 2008-01-15 Indivos Corporation Tokenless financial access system
US5737439A (en) * 1996-10-29 1998-04-07 Smarttouch, Llc. Anti-fraud biometric scanner that accurately detects blood flow
AU6781998A (en) * 1997-03-31 1998-10-22 James S. Bianco Low-cost biometric identification system and method
US6208264B1 (en) 1997-05-23 2001-03-27 Automated Identification Service, Inc. Personal verification in a commercial transaction system
ATE262200T1 (en) * 1997-06-27 2004-04-15 Security First Corp ELECTROLUMINESCENT FINGERPRINT DEVICE AND METHOD
US5982914A (en) 1997-07-29 1999-11-09 Smarttouch, Inc. Identification of individuals from association of finger pores and macrofeatures
US5959541A (en) * 1997-09-23 1999-09-28 Accu-Time Systems, Inc. Biometric time and attendance system with epidermal topographical updating capability
US5995014A (en) * 1997-12-30 1999-11-30 Accu-Time Systems, Inc. Biometric interface device for upgrading existing access control units
US6980670B1 (en) 1998-02-09 2005-12-27 Indivos Corporation Biometric tokenless electronic rewards system and method
US6225890B1 (en) 1998-03-20 2001-05-01 Trimble Navigation Limited Vehicle use control
US6178255B1 (en) * 1998-04-28 2001-01-23 Cross Match Technologies, Inc. Individualized fingerprint scanner
JP4016526B2 (en) * 1998-09-08 2007-12-05 富士ゼロックス株式会社 3D object identification device
US6292173B1 (en) * 1998-09-11 2001-09-18 Stmicroelectronics S.R.L. Touchpad computer input system and method
US6522772B1 (en) 1998-09-30 2003-02-18 Ncr Corporation Self-service checkout terminal having a biometric sensing device for verifying identity of a user and associated method
DE19901881A1 (en) * 1999-01-19 2000-07-27 Dcs Dialog Communication Syste Falsification protection method for biometric identification process for people using multiple data samples,
US6129671A (en) * 1999-01-29 2000-10-10 Acuson Corporation Diagnostic medical ultrasound imaging system and ultrasound review station with a biophysical input device
USD433413S (en) * 1999-04-09 2000-11-07 Biolink Technologies International, Inc. Biometric scanning aperture for a computer input device
US6282304B1 (en) 1999-05-14 2001-08-28 Biolink Technologies International, Inc. Biometric system for biometric input, comparison, authentication and access control and method therefor
US6658164B1 (en) 1999-08-09 2003-12-02 Cross Match Technologies, Inc. Calibration and correction in a fingerprint scanner
US6937748B1 (en) * 1999-09-10 2005-08-30 Ultra-Scan Corporation Left hand right hand invariant dynamic finger positioning guide
US6687391B1 (en) * 1999-10-22 2004-02-03 Cross Match Technologies, Inc. Adjustable, rotatable finger guide in a tenprint scanner with movable prism platen
WO2001052180A1 (en) * 2000-01-10 2001-07-19 Tarian, Llc Device using histological and physiological biometric marker for authentication and activation
US8049597B1 (en) 2000-01-10 2011-11-01 Ensign Holdings, Llc Systems and methods for securely monitoring an individual
US20040034598A1 (en) * 2000-01-20 2004-02-19 Timothy Robinson System and method for biological authorization for financial transactions
US7752775B2 (en) * 2000-03-10 2010-07-13 Lyden Robert M Footwear with removable lasting board and cleats
US7107235B2 (en) * 2000-03-10 2006-09-12 Lyden Robert M Method of conducting business including making and selling a custom article of footwear
RU2175143C1 (en) * 2000-04-04 2001-10-20 Свириденко Андрей Владимирович Remote control technique
US7107245B1 (en) 2000-04-20 2006-09-12 Gaming System Technologies, Llc Biometric gaming access system
US20010051924A1 (en) * 2000-05-09 2001-12-13 James Uberti On-line based financial services method and system utilizing biometrically secured transactions for issuing credit
ES2467154T3 (en) * 2000-05-18 2014-06-12 Commwell, Inc. Method for remote medical monitoring that incorporates video processing
US9165323B1 (en) 2000-05-31 2015-10-20 Open Innovation Network, LLC Biometric transaction system and method
US7565329B2 (en) 2000-05-31 2009-07-21 Yt Acquisition Corporation Biometric financial transaction system and method
US7536557B2 (en) * 2001-03-22 2009-05-19 Ensign Holdings Method for biometric authentication through layering biometric traits
US7133792B2 (en) * 2000-06-08 2006-11-07 Ensign Holdings, Llc Method and apparatus for calibration over time of histological and physiological biometric markers for authentication
US7441123B2 (en) * 2001-03-23 2008-10-21 Ensign Holdings Method and apparatus for characterizing and estimating the parameters of histological and physiological biometric markers for authentication
US6483929B1 (en) 2000-06-08 2002-11-19 Tarian Llc Method and apparatus for histological and physiological biometric operation and authentication
AU7182701A (en) * 2000-07-06 2002-01-21 David Paul Felsher Information record infrastructure, system and method
KR20020014193A (en) * 2000-08-17 2002-02-25 이종언 Hand Geometry Identification System
AU2001222942A1 (en) * 2000-08-18 2002-03-04 Cross Match Technologies, Inc. Fingerprint scanner auto-capture system and method
US7627145B2 (en) * 2000-09-06 2009-12-01 Hitachi, Ltd. Personal identification device and method
JP3558025B2 (en) * 2000-09-06 2004-08-25 株式会社日立製作所 Personal authentication device and method
US8384885B2 (en) * 2000-09-20 2013-02-26 Hitachi, Ltd. Personal identification system
US6735547B1 (en) * 2000-10-06 2004-05-11 Evangelos A. Yfantis Method and apparatus for determining the size and shape of a foot
US7386456B2 (en) * 2000-11-06 2008-06-10 Symbol Technologies, Inc. System and methods for transportation and delivery using bar codes
US6928195B2 (en) * 2000-12-18 2005-08-09 Cross Match Technologies, Inc. Palm scanner using a programmable nutating mirror for increased resolution
DE10100616A1 (en) * 2001-01-09 2002-07-18 Siemens Ag Authentication of a person using hand recognition
US20020091937A1 (en) 2001-01-10 2002-07-11 Ortiz Luis M. Random biometric authentication methods and systems
US7921297B2 (en) 2001-01-10 2011-04-05 Luis Melisendro Ortiz Random biometric authentication utilizing unique biometric signatures
US8462994B2 (en) 2001-01-10 2013-06-11 Random Biometrics, Llc Methods and systems for providing enhanced security over, while also facilitating access through, secured points of entry
US20020162031A1 (en) * 2001-03-08 2002-10-31 Shmuel Levin Method and apparatus for automatic control of access
US7542586B2 (en) * 2001-03-13 2009-06-02 Johnson Raymond C Touchless identification system for monitoring hand washing or application of a disinfectant
US7181017B1 (en) 2001-03-23 2007-02-20 David Felsher System and method for secure three-party communications
US20030016427A1 (en) * 2001-04-26 2003-01-23 Arnold Joe F. Silicon rubber surfaces for biometric print TIR prisms
DE20121729U1 (en) * 2001-05-15 2003-06-12 Atelion Gmbh Person identification with 3-dimensional finger group analysis involves analyzing fingerprint, fingertip shape from different perspectives to prevent deception using planar images
DE20121731U1 (en) * 2001-05-15 2003-06-12 Atelion Gmbh Person identification with 3-dimensional finger group analysis involves analyzing fingerprint, fingertip shape from different perspectives to prevent deception using planar images
CN1509895A (en) * 2001-06-22 2004-07-07 ��Τ����˹ Color copying method
US7298415B2 (en) * 2001-07-13 2007-11-20 Xenogen Corporation Structured light imaging apparatus
US8200980B1 (en) 2001-09-21 2012-06-12 Open Invention Network, Llc System and method for enrolling in a biometric system
US20030177102A1 (en) * 2001-09-21 2003-09-18 Timothy Robinson System and method for biometric authorization for age verification
US7765164B1 (en) 2001-09-21 2010-07-27 Yt Acquisition Corporation System and method for offering in-lane periodical subscriptions
US9189788B1 (en) 2001-09-21 2015-11-17 Open Invention Network, Llc System and method for verifying identity
US7624073B1 (en) 2001-09-21 2009-11-24 Yt Acquisition Corporation System and method for categorizing transactions
US7437330B1 (en) 2002-09-20 2008-10-14 Yt Acquisition Corp. System and method for categorizing transactions
US20040153421A1 (en) * 2001-09-21 2004-08-05 Timothy Robinson System and method for biometric authorization of age-restricted transactions conducted at an unattended device
US7269737B2 (en) 2001-09-21 2007-09-11 Pay By Touch Checking Resources, Inc. System and method for biometric authorization for financial transactions
US7533809B1 (en) 2001-09-21 2009-05-19 Yt Acquisition Corporation System and method for operating a parking facility
US7464059B1 (en) 2001-09-21 2008-12-09 Yt Acquisition Corporation System and method for purchase benefits at a point of sale
US20030149343A1 (en) * 2001-09-26 2003-08-07 Cross Match Technologies, Inc. Biometric based facility security
US6675095B1 (en) 2001-12-15 2004-01-06 Trimble Navigation, Ltd On-board apparatus for avoiding restricted air space in non-overriding mode
US6867850B2 (en) * 2002-01-17 2005-03-15 Cross Match Technologies, Inc. Light wedge for illuminating a platen in a print scanner
US7308122B2 (en) * 2002-01-17 2007-12-11 Cross Match Technologies, Inc. Biometric imaging system and method
US6954260B2 (en) * 2002-01-17 2005-10-11 Cross Match Technologies, Inc. Systems and methods for illuminating a platen in a print scanner
US6724689B2 (en) 2002-03-08 2004-04-20 Philip Koenig Personal identification method and apparatus using acoustic resonance analysis of body parts
US9569746B2 (en) 2002-03-14 2017-02-14 Nike, Inc. Custom fit sale of footwear
US7079007B2 (en) * 2002-04-19 2006-07-18 Cross Match Technologies, Inc. Systems and methods utilizing biometric data
US7073711B2 (en) * 2002-04-19 2006-07-11 Cross Match Technologies, Inc. Mobile handheld code reader and print scanner system and method
US6944768B2 (en) * 2002-04-19 2005-09-13 Cross Match Technologies, Inc. System and methods for access control utilizing two factors to control access
US6974373B2 (en) 2002-08-02 2005-12-13 Geissler Technologies, Llc Apparatus and methods for the volumetric and dimensional measurement of livestock
AU2003254280A1 (en) * 2002-08-02 2004-02-23 Cross Match Technologies, Inc. System and method for counting ridges in a captured print image
US9818136B1 (en) 2003-02-05 2017-11-14 Steven M. Hoffberg System and method for determining contingent relevance
US6834894B2 (en) * 2003-02-20 2004-12-28 Shree G. Khaitan Apparatus for tying knot and method thereof
US7164440B2 (en) * 2003-02-28 2007-01-16 Cross Match Technologies, Inc. Dynamic image adaptation method for adjusting the quality of digital prints
US20040172562A1 (en) * 2003-03-01 2004-09-02 Vladimir Berger System and method for identity recognition of an individual for enabling an access to a secured system
US7751594B2 (en) 2003-04-04 2010-07-06 Lumidigm, Inc. White-light spectral biometric sensors
US7460696B2 (en) 2004-06-01 2008-12-02 Lumidigm, Inc. Multispectral imaging biometrics
KR20060002923A (en) 2003-04-04 2006-01-09 루미다임 인크. Multispectral biometric sensor
ATE375569T1 (en) 2003-05-14 2007-10-15 Tbs Holding Ag METHOD AND DEVICE FOR DETECTING BIOMETRIC DATA AFTER RECORDING FROM AT LEAST TWO DIRECTIONS
DE10321543A1 (en) * 2003-05-14 2004-12-02 Tbs Holding Ag Method for detecting biometric data esp. of finger-prints and facial features etc, requires detecting object by optical scanning with digital image processing of numerical characteristics
US6914668B2 (en) * 2003-05-14 2005-07-05 International Technologies (Laser) Ltd. Personal identification verification and controlled substance detection and identification system
US6961450B2 (en) * 2003-06-25 2005-11-01 Intelligent Biometric Technology, Inc. Personal identification method, electronic identification system and apparatus for personal biometrical identification by gauging geometry of the person's hand
US7277562B2 (en) 2003-08-01 2007-10-02 Cross Match Technologies, Inc. Biometric imaging capture system and method
CA2438220C (en) * 2003-08-06 2011-11-08 Click-Into Inc. Identification of a person based on ultra-sound scan analyses of hand bone geometry
US7760918B2 (en) * 2003-08-06 2010-07-20 Zinayida Bezvershenko Identification of a person based on ultra-sound scan analyses of hand bone geometry
US20050047631A1 (en) * 2003-08-26 2005-03-03 Cross Match Technologies, Inc. Method and apparatus for rolled fingerprint image capture with variable blending
FR2860326A1 (en) * 2003-09-29 2005-04-01 Patrick Jean Michel Fourrier Automatic bank cash machine uses biometric test on user's hand in order to authenticate card holder before dispensing cash
US20050071242A1 (en) * 2003-09-30 2005-03-31 Nike International Ltd. Method and system for custom-manufacturing footwear
JP4608293B2 (en) * 2003-12-25 2011-01-12 株式会社プレックス Hand three-dimensional measuring apparatus and method
US20050206501A1 (en) * 2004-03-16 2005-09-22 Michael Farhat Labor management system and method using a biometric sensing device
US8229185B2 (en) 2004-06-01 2012-07-24 Lumidigm, Inc. Hygienic biometric sensors
US20110163163A1 (en) * 2004-06-01 2011-07-07 Lumidigm, Inc. Multispectral barcode imaging
US8787630B2 (en) 2004-08-11 2014-07-22 Lumidigm, Inc. Multispectral barcode imaging
US8320645B2 (en) * 2004-11-02 2012-11-27 Identix Incorporated High performance multi-mode palmprint and fingerprint scanning device and system
US7609865B2 (en) * 2004-11-08 2009-10-27 Biomagnetics 3D fingerprint and palm print data model and capture devices using multi structured lights and cameras
US20060202304A1 (en) * 2005-03-11 2006-09-14 Orr Raymond K Integrated circuit with temperature-controlled component
WO2007086913A2 (en) * 2005-05-06 2007-08-02 Redxdefense, Llc Security screening and support system
US8044996B2 (en) * 2005-05-11 2011-10-25 Xenogen Corporation Surface construction using combined photographic and structured light information
US20060293891A1 (en) * 2005-06-22 2006-12-28 Jan Pathuel Biometric control systems and associated methods of use
US8874477B2 (en) 2005-10-04 2014-10-28 Steven Mark Hoffberg Multifactorial optimization system and method
GB2444468B (en) 2005-10-05 2010-12-22 Redxdefense Llc Visitor control and tracking system
US7862776B2 (en) * 2006-01-06 2011-01-04 Redxdefense, Llc Interactive security screening system
JP4745084B2 (en) * 2006-03-03 2011-08-10 富士通株式会社 Imaging device
JP4799216B2 (en) * 2006-03-03 2011-10-26 富士通株式会社 Imaging device having distance measuring function
US20080091121A1 (en) * 2006-03-31 2008-04-17 Yu Sun System, method and apparatus for detecting a force applied to a finger
US9042606B2 (en) * 2006-06-16 2015-05-26 Board Of Regents Of The Nevada System Of Higher Education Hand-based biometric analysis
US7983451B2 (en) * 2006-06-30 2011-07-19 Motorola Mobility, Inc. Recognition method using hand biometrics with anti-counterfeiting
US7995808B2 (en) 2006-07-19 2011-08-09 Lumidigm, Inc. Contactless multispectral biometric capture
US8355545B2 (en) 2007-04-10 2013-01-15 Lumidigm, Inc. Biometric detection using spatial, temporal, and/or spectral techniques
US8175346B2 (en) 2006-07-19 2012-05-08 Lumidigm, Inc. Whole-hand multispectral biometric imaging
US7660442B2 (en) * 2006-09-01 2010-02-09 Handshot, Llc Method and system for capturing fingerprints, palm prints and hand geometry
JP4910644B2 (en) * 2006-11-02 2012-04-04 ソニー株式会社 Imaging device
WO2008095733A1 (en) * 2007-02-09 2008-08-14 Tezet Technik Ag Measuring instrument and method for determining geometric properties of profiled elements
WO2008134135A2 (en) 2007-03-21 2008-11-06 Lumidigm, Inc. Biometrics based on locally consistent features
RU2474876C2 (en) * 2007-09-04 2013-02-10 Айдентикс Инкорпорейтед System and high-efficiency multimode scanning device for obtaining palmprints and fingerprints
JP4957514B2 (en) * 2007-11-12 2012-06-20 富士通株式会社 GUIDE DEVICE, IMAGING DEVICE, IMAGING SYSTEM, GUIDING METHOD
FR2927713B1 (en) * 2008-02-14 2011-08-26 Sagem Securite DEVICE FOR ACQUIRING DIGITAL IMPRESSIVE STREAMS.
US8150108B2 (en) * 2008-03-17 2012-04-03 Ensign Holdings, Llc Systems and methods of identification based on biometric parameters
CZ305065B6 (en) * 2008-07-21 2015-04-22 Vysoké Učení Technické V Brně Method of biometric identification of persons according to the hand and device for making the same
RU2464634C2 (en) * 2008-09-11 2012-10-20 Институт прикладной физики РАН Method and system for biometric personal identification based on hand image
US20100097324A1 (en) * 2008-10-20 2010-04-22 Dell Products L.P. Parental Controls Based on Touchscreen Input
US8368658B2 (en) 2008-12-02 2013-02-05 At&T Mobility Ii Llc Automatic soft key adaptation with left-right hand edge sensing
US20100138680A1 (en) * 2008-12-02 2010-06-03 At&T Mobility Ii Llc Automatic display and voice command activation with hand edge sensing
US20100134424A1 (en) * 2008-12-02 2010-06-03 At&T Mobility Ii Llc Edge hand and finger presence and motion sensor
US8432252B2 (en) * 2009-06-19 2013-04-30 Authentec, Inc. Finger sensor having remote web based notifications
US8655084B2 (en) * 2009-06-23 2014-02-18 Board Of Regents Of The Nevada System Of Higher Education, On Behalf Of The University Of Nevada, Reno Hand-based gender classification
JP5423222B2 (en) * 2009-08-07 2014-02-19 ソニー株式会社 Position detection apparatus and position detection method
WO2011028620A1 (en) 2009-08-26 2011-03-10 Lumidigm, Inc. Multiplexed biometric imaging and dual-imager biometric sensor
JP5424788B2 (en) * 2009-09-16 2014-02-26 株式会社日立ソリューションズ Biometric information creation method, authentication method and apparatus used in biometric authentication device
EP2480955B1 (en) 2009-09-22 2018-05-16 Facebook Inc. Remote control of computer devices
US8570149B2 (en) 2010-03-16 2013-10-29 Lumidigm, Inc. Biometric imaging using an optical adaptive interface
US9870068B2 (en) 2010-09-19 2018-01-16 Facebook, Inc. Depth mapping with a head mounted display using stereo cameras and structured light
KR20120067761A (en) * 2010-12-16 2012-06-26 한국전자통신연구원 Apparatus for measuring biometric information using user terminal and method thereof
US8548206B2 (en) 2011-01-20 2013-10-01 Daon Holdings Limited Methods and systems for capturing biometric data
US8457370B2 (en) 2011-01-20 2013-06-04 Daon Holdings Limited Methods and systems for authenticating users with captured palm biometric data
JP6173834B2 (en) * 2012-08-30 2017-08-02 東芝メディカルシステムズ株式会社 Ultrasonic probe and ultrasonic diagnostic apparatus
US9203835B2 (en) * 2013-03-01 2015-12-01 Paypal, Inc. Systems and methods for authenticating a user based on a biometric model associated with the user
US9228824B2 (en) * 2013-05-10 2016-01-05 Ib Korea Ltd. Combined sensor arrays for relief print imaging
WO2015059705A1 (en) 2013-10-23 2015-04-30 Pebbles Ltd. Three dimensional depth mapping using dynamic structured light
JP2017513149A (en) 2014-04-10 2017-05-25 アイビー コリア リミテッドIB Korea Ltd. Biometric sensor for touch-enabled devices
US11263432B2 (en) 2015-02-06 2022-03-01 Veridium Ip Limited Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices
US9424458B1 (en) * 2015-02-06 2016-08-23 Hoyos Labs Ip Ltd. Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices
US9361507B1 (en) * 2015-02-06 2016-06-07 Hoyos Labs Ip Ltd. Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices
EP3274653B1 (en) 2015-03-22 2020-11-25 Facebook Technologies, LLC Depth mapping with a head mounted display using stereo cameras and structured light
US9722793B2 (en) 2015-09-09 2017-08-01 Microsoft Technology Licensing, Llc Personal identification via acoustically stimulated biospeckles
KR102509067B1 (en) 2016-04-08 2023-03-13 삼성디스플레이 주식회사 User identifying device, input sensing module of the same and method for user identifying
TWI604332B (en) * 2017-03-24 2017-11-01 緯創資通股份有限公司 Method, system, and computer-readable recording medium for long-distance person identification
US11399591B2 (en) 2020-03-16 2022-08-02 Robert Lyden Article of footwear, method of making the same, and method of conducting retail and internet business

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3648240A (en) * 1970-01-15 1972-03-07 Identification Corp Personnel identification apparatus
US3647240A (en) * 1970-04-02 1972-03-07 Joseph Rachic Kick block
JPS5487251A (en) * 1977-12-23 1979-07-11 Toshiba Corp Personal discriminator
JPS6029135A (en) * 1983-07-25 1985-02-14 三菱電機株式会社 Indivisual discriminator
US4736203A (en) * 1985-07-17 1988-04-05 Recognition Systems, Inc. 3D hand profile identification apparatus
US4720869A (en) * 1986-02-18 1988-01-19 International Business Machines Corporation Hand dimension verification
US5025476A (en) * 1988-10-31 1991-06-18 Nathaniel Gould Diagnostics, Inc. Redotopography apparatus and method using moire fringe analysis to measure foot shapes
GB8900866D0 (en) * 1989-01-16 1989-03-08 Nat Res Dev Biometrics
US5073950A (en) * 1989-04-13 1991-12-17 Personnel Identification & Entry Access Control, Inc. Finger profile identification system
US5335288A (en) * 1992-02-10 1994-08-02 Faulkner Keith W Apparatus and method for biometric identification

Also Published As

Publication number Publication date
AU668543B2 (en) 1996-05-09
EP0630504A1 (en) 1994-12-28
CA2128411A1 (en) 1993-08-19
US5483601A (en) 1996-01-09
DE69328775T2 (en) 2000-11-30
EP0630504A4 (en) 1995-05-24
EP0630504B1 (en) 2000-05-31
DE69328775D1 (en) 2000-07-06
US5335288A (en) 1994-08-02
JPH07506917A (en) 1995-07-27
WO1993016441A1 (en) 1993-08-19
AU3601093A (en) 1993-09-03

Similar Documents

Publication Publication Date Title
CA2128411C (en) Apparatus and method for biometric identification
US6404904B1 (en) System for the touchless recognition of hand and finger lines
US8077934B2 (en) Low power fingerprint capture system, apparatus, and method
US5067162A (en) Method and apparatus for verifying identity using image correlation
US7668350B2 (en) Comparative texture analysis of tissue for biometric spoof detection
KR20000035840A (en) Apparatus for the iris acquiring images
CA2381300C (en) Method and apparatus for reduction of trapezoidal distortion and improvement of image sharpness in an optical image capturing system
KR20070038448A (en) Methods and systems for estimation of personal characteristics from biometric measurements
EA006378B1 (en) Method and device for recognition of natural skin with touchless biometric identification of a person
US20230386249A1 (en) Presentation attack detection
BRPI0812505B1 (en) BIOMETRIC SYSTEM, METHOD FOR COLLECTING A BIOMETRIC IMAGE
US20040120553A1 (en) Device for contactless optical acquisition of biometric characteristics of at least one body part
US20220415095A1 (en) Device for biometric identification with the aid of fingerprints and/or hand characteristics, and method of biometric identification with the aid of these characteristics
WO2023026300A1 (en) An optical fingerprint scanner

Legal Events

Date Code Title Description
EEER Examination request
MKEX Expiry

Effective date: 20130211