CN103455802A - Fingerprint pressing instrument - Google Patents
Fingerprint pressing instrument Download PDFInfo
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- CN103455802A CN103455802A CN2013104092262A CN201310409226A CN103455802A CN 103455802 A CN103455802 A CN 103455802A CN 2013104092262 A CN2013104092262 A CN 2013104092262A CN 201310409226 A CN201310409226 A CN 201310409226A CN 103455802 A CN103455802 A CN 103455802A
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Abstract
Provided is a fingerprint pressing instrument. Due to the fact that a traditional fingerprint instrument collects information of fingerprints of the surface layer of a finger, and cannot ensure reality and effectiveness of the information of the fingerprints, images of false fingers, images of dead fingers, images of fingerprint membranes and the like are collected, and the phenomenon that the fingerprints are counterfeit easily happens. The fingerprint pressing instrument comprises a CPU mainboard, wherein the CPU mainboard is connected with a pressing type sensor board (1) through an FPC connecting wire, the CPU mainboard comprises a voltage stabilizer A (2), a voltage stabilizer B (3), a power source indication LED lamp (4), a USB interface (5) and a CPU chip (6), the CPU chip is connected with the voltage stabilizer B, the voltage stabilizer A and the USB interface, the voltage stabilizer A is connected with the voltage stabilizer B and the USB interface, and the voltage stabilizer B is connected with the power source indication LED lamp. The fingerprint pressing instrument is used for fingerprint collection.
Description
technical field:
the present invention relates to a kind of fingerprint instrument of pressing.
background technology:
fingerprint instrument is a kind of electronic device that utilizes the characteristics of finger print feature " people is variant, constant throughout one's life " to carry out identification, and this instrument principle of work comprises and gathers fingerprint image, the feature that takes the fingerprint, save data and carry out four functions of fingerprint comparison.Wherein the fetching finger mark image is the most most important function of fingerprint instrument.Traditional fingerprint instrument collection finger top layer finger print information, can not guarantee the true, effective of finger print information, makes the collected images such as prosthetic finger, unique skill refer to, fingerprint film, and the fingerprint fakement phenomena easily occurs; General feature alignment algorithm, can only carry out aspect ratio pair to two unidirectional fingerprint images, when the image direction of two same fingers is inconsistent, the result that general feature alignment algorithm is compared is that two width figure are not identical, and this result is obviously wrong; Traditional fingerprint instrument can only acquire unique point seldom to the information acquisition of failure crack finger, even can't obtain characteristic point information, to fingerprint comparison, brings problem.
summary of the invention:
the purpose of this invention is to provide a kind of fingerprint instrument of pressing.
above-mentioned purpose realizes by following technical scheme:
a kind of fingerprint instrument of pressing, its composition comprises: cpu motherboard, described cpu motherboard is connected by the FPC connecting line with the push type sensor board, described cpu motherboard comprises voltage stabilizer A, voltage stabilizer B, power supply indication LED lamp, USB interface, cpu chip, described cpu chip is connected with described voltage stabilizer B, described voltage stabilizer A, described USB interface respectively, described voltage stabilizer A is connected with described voltage stabilizer B, described USB interface respectively, and described voltage stabilizer B is connected with described power supply indication LED lamp.
the described fingerprint instrument of pressing, described sensor board is arranged in the finger belly type groove of shell, and described USB interface is connected with the USB connecting line.
beneficial effect:
1. live body skin corium acquisition technique of the present invention adopts international advanced sensor technology, has solved this difficult problem of collection living body finger print.Sensor used in the present invention is merely able to identify living body finger print, and the fingerprint image gathered is skin corium (the being the live body layer) image of finger, can not gather finger top layer finger print information, guarantees the true, effectively of finger print information.Make that prosthetic finger, unique skill refer to, fingerprint film etc. can't collect image, and harm is the generation of fingerprint fakement phenomena only.
fingerprint algorithm of the present invention is first analyzed identification to the type of original image, and the image of torsional deformation is revised, and for dissimilar fingerprint image, adopts different image processing policies.This know-why is to select suitable image processing parameter (being different strategies) to be processed original image according to image type.Its processing procedure comprises image binaryzation and generates and two parts of binary image refinement.The advantage of this image processing techniques is effectively to have guaranteed the integrality of original image information.What traditional image was processed employing is the single image Processing Algorithm, in processing procedure, can not judge the original image type, causes classic method when processing particular image, and treatment effect is bad, and effect characteristics point extracts.And image processing techniques of the present invention has solved the problems referred to above, the success ratio of feature point extraction is high more a lot of than classic method.
the present invention has the ability of the dry finger of identification, wet finger, utilize the difference of dry, wet finger on fingerprint image, the intelligent image treatment technology is after the type of identification fingerprint image, determine which kind of fingerprint pattern this fingerprint image belongs to, image for dry, wet finger type, adopt distinctive image processing algorithm to be processed, fingerprint image is revised, make fingerprint image can obtain correct characteristic point information, having solved can't extract minutiae and extract the problem of pseudo-characteristic point, effectively reduce fingerprint algorithm refuse sincere.
because the failure crack finger is the special fingerprint pattern of a class, such fingerprint image is very large with normal fingerprint image difference, adopts conventional algorithm can only acquire unique point seldom, even can't obtain characteristic point information, to fingerprint comparison, brings problem.Failure crack information is the same with fingerprint, have unique and immovable characteristics, the present invention utilizes this characteristics, and the failure crack information collected is stored as the part of fingerprint feature point, and participate in aspect ratio pair, improve the adaptive faculty to failure crack of fingerprint algorithm.The principle of this technology is first fingerprint image to be extracted to eigenwert according to conventional feature extraction algorithm, and then use the failure crack feature extraction algorithm to extract the failure crack feature to fingerprint image, the unique point obtained for twice is merged and stored as a fingerprint characteristic.Carry out aspect ratio to the time, carry out respectively conventional aspect ratio to failure crack aspect ratio pair, then by being merged of twice comparison result, obtain the final comparison result.Through market checking for many years, the failure crack recognition technology is a kind of effective fingerprint identification technology.
the present invention has 360 degree feature comparison technologies, and the feature alignment algorithm, when the fingerprint image of two same finger different directions collections of comparison, still can obtain correct comparison result.This technology is the outstanding feature of fingerprint aspect ratio to algorithm.General feature alignment algorithm, can only carry out aspect ratio pair to two unidirectional fingerprint images, when the image direction of two same fingers is inconsistent, the result that general feature alignment algorithm is compared is that two width figure are not identical, and this result is obviously wrong.
the present invention adopts Silicon Wafer and technical grade ceramic substrate; Sensor area is 10.64mm * 14mm; Sensor array is classified 152 * 200 points as; The identification fingerprint time is short; There is SPI interface at a high speed; Shell is metal shell, the protection inner body; Resolution with 363dpi; Low-power consumption, the operating voltage of 3.3V or 2.5V, the 7mA working current; Meet the high-quality FR4 material of international standard; Built-in A/D conversion, thereby the digital three-dimensional fingerprint image of outputting high quality; Living body finger print identification, survey skin corium, and dry wet finger is had to adaptability; 8 analog to digital converters, can be conveniently with low-cost joint connecting system in; A kind of brand-new leading level capacitive fingerprint sensing device based on the Certus sensor platform, non-inductance, voltage-type.
the accompanying drawing explanation:
accompanying drawing 1 is structured flowchart of the present invention.
accompanying drawing 2 is contour structures schematic diagram of the present invention.
accompanying drawing 3 is cpu chip circuit theory diagrams of the present invention.
accompanying drawing 4 is usb circuit schematic diagrams of the present invention.
accompanying drawing 5 is sensor interface circuitry schematic diagrams of the present invention.
accompanying drawing 6 is power circuit principle figure of the present invention.
embodiment:
embodiment 1:
a kind of fingerprint instrument of pressing, its composition comprises: cpu motherboard, described cpu motherboard is connected by the FPC connecting line with push type sensor board 1, described cpu motherboard comprises voltage stabilizer A, piece number: 2, voltage stabilizer B, piece number: 3, power supply indication LED lamp 4, USB interface 5, cpu chip 6, described cpu chip is connected with described voltage stabilizer B, described voltage stabilizer A, described USB interface respectively, described voltage stabilizer A is connected with described voltage stabilizer B, described USB interface respectively, and described voltage stabilizer B is connected with described power supply indication LED lamp.
embodiment 2:
according to the described fingerprint instrument of pressing of embodiment 1, described sensor board is arranged in the finger belly type groove of shell, and described USB interface is connected with the USB connecting line.
embodiment 3:
the described fingerprint instrument of pressing, the HSF-1A type---pressing fingerprint instrument is a fingerprint instrument of binding user profile.Press fingerprint instrument and must rely on network environment.Popular, by the USB interface of the PC that can surf the Net of this fingerprint instrument insertion, by logining special authentication website, and authenticated according to the prompting above computer exactly.
below respectively from mainboard and sensor board selected element introduce the function of this kind of fingerprint instrument:
(1) mainboard
what the system host CPU adopted is the AS602 chip, is a general 32 the RISC processors that aim at SOC (system on a chip) (SoC) design, adopts " Cordis 5+ " 32 RISC processor cores of bright unit innovation.This kernel has 5 level production lines, but all instructions all condition carry out, there is abundant addressing mode, 16 and 32 bit instructions can shufflings.Except the instruction of outfit zero-overhead loop, monocycle take advantage of DSP instructions commonly used such as adding instruction, AS602 also is furnished with simultaneous streaming instruction, several greatly multiplication and division instruction and convolution algorithm accelerator.Aspect peripheral interface, AS602 is except having SDRAM Controller, Flash Controller, Smartcard Controller, USB2.0 FS, and, outside the conventional interface such as USART, also be furnished with 4 passage high speed SPI interfaces, 4 channel C apture/Compare/PWM unit, and the CMOS Image Sensor interface of a special use.The GPIO of 99 nearly, help user flexibility to build complicated and system cheaply.
be the DSP device that a kind of embedded fingerprint characteristic extracts generating algorithm, coordinate push type fingerprint sensor FPC1011F3 to gather finger print information, and send relevant information to host CPU.This product needs two kinds of voltages altogether, be 3.3V and 1.8V, that adopt respectively is the positive voltage voltage stabilizer S-1132B33 of SEIKO and the positive voltage adjuster XC6206-1V8 of TOREX, wherein the S-1132B33-U5T1G chip becomes 3.3V by the 5V voltage transitions of power supply input, and XC6206-1V8 is the low-voltage difference adjustor chip of a high precision, low-power consumption, 3.3V can be converted to 1.8V, for AS602 provides core voltage.
(2) sensor
what sensor adopted is that a kind of condenser type face that Sweden FingerPrints company successfully releases fills fingerprint sensor FPC1011F3, and this sensor has adopted multinomial patent, as the diaphragm of independently wafer body signal amplification, sensor surface etc.Inside has the A/D conversion, SPI interface at a high speed, and the soft arranging wire of 8PIN can access various systems easily.
having the characteristics such as high image quality, high abrasion, high-antistatic, low-power consumption, is a kind of brand-new leading level capacitive fingerprint sensing device based on the certus sensor platform.It adopts unique reflective measurement, and electric impulse signal sends through the ABS conductive pane after being produced by inner IC, and after finger contact sensors A BS conductive pane, the distance because of from the sensor capacitance substrate of paddy and ridge is different, and induction forms no magnitude of voltage.Through inner A/D conversion, thus the digital finger-print image of outputting high quality.
embodiment 4:
the described fingerprint instrument of pressing, the sensor technology parameter is as shown in table 1:
table 1
the described fingerprint instrument product technology parameter of pressing is as shown in table 2:
table 2
| Shell sizes (L * W * H) | 98.4 X 49 X 18.2 mm |
| Wear strength is high | 100 ten thousand times |
| Antistatic index | ±15KV |
| Working temperature | -20℃? ~? +55℃ |
|
|
40%RH ~ 85%RH(is without condensation) |
| Power supply mode | The USB power supply |
| Operating voltage | The DC(direct current) 3.3V |
| Average working current | 1.5A |
| Effectively gather area | 1.0 X 10.30 mm |
| Acquisition mode | Plane gathers |
| The fingerprint image typing time | < 0.5 second |
| Accuracy of system identification (FAR) | < 0.0001% (safe class is 3 o'clock) |
| Refuse sincere (FAR) | < 0.001% (safe class is 3 o'clock) |
| Reduced time | <=1 second (in conjunction with actual conditions) |
| Verification mode | Support fingerprint authentication (1:1) and fingerprint search (1:N) |
| Tag file | 256 bytes |
| Template file | 512 bytes |
| Man-machine interface | A power light, indication power supply and mode of operation |
| Communication interface | USB |
| Safe class | Pyatyi (from low to high: 1,2,3,4,5) |
Claims (2)
1. press fingerprint instrument for one kind, its composition comprises: cpu motherboard, it is characterized in that: described cpu motherboard is connected by the FPC connecting line with the push type sensor board, described cpu motherboard comprises voltage stabilizer A, voltage stabilizer B, power supply indication LED lamp, USB interface, cpu chip, described cpu chip is connected with described voltage stabilizer B, described voltage stabilizer A, described USB interface respectively, described voltage stabilizer A is connected with described voltage stabilizer B, described USB interface respectively, and described voltage stabilizer B is connected with described power supply indication LED lamp.
2. according to the described fingerprint instrument of pressing of claim 1, it is characterized in that: described sensor board is arranged in the finger belly type groove of shell, and described USB interface is connected with the USB connecting line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013104092262A CN103455802A (en) | 2013-09-11 | 2013-09-11 | Fingerprint pressing instrument |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013104092262A CN103455802A (en) | 2013-09-11 | 2013-09-11 | Fingerprint pressing instrument |
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| CN103455802A true CN103455802A (en) | 2013-12-18 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469083A (en) * | 2015-11-13 | 2016-04-06 | 广东欧珀移动通信有限公司 | Fingerprint image processing method, fingerprint image processing device and terminal equipment |
| CN106023330A (en) * | 2016-05-27 | 2016-10-12 | 赵敏 | Novel punched-card machine |
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| US6126056A (en) * | 1999-11-10 | 2000-10-03 | Kotec's Co., Ltd. | Apparatus for attaching tag pins |
| CN101604384A (en) * | 2009-07-17 | 2009-12-16 | 周易 | Individualized fingerprint identification method |
| CN102567686A (en) * | 2012-01-06 | 2012-07-11 | 上海凯卓信息科技有限公司 | Security authentication method of application software of mobile terminal based on human body stable characteristics |
| CN103076751A (en) * | 2012-12-24 | 2013-05-01 | 大唐微电子技术有限公司 | Movement equipment and control method of movement equipment |
-
2013
- 2013-09-11 CN CN2013104092262A patent/CN103455802A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6126056A (en) * | 1999-11-10 | 2000-10-03 | Kotec's Co., Ltd. | Apparatus for attaching tag pins |
| CN101604384A (en) * | 2009-07-17 | 2009-12-16 | 周易 | Individualized fingerprint identification method |
| CN102567686A (en) * | 2012-01-06 | 2012-07-11 | 上海凯卓信息科技有限公司 | Security authentication method of application software of mobile terminal based on human body stable characteristics |
| CN103076751A (en) * | 2012-12-24 | 2013-05-01 | 大唐微电子技术有限公司 | Movement equipment and control method of movement equipment |
Non-Patent Citations (2)
| Title |
|---|
| 刘良勇: "《基于ARM9的指纹采集系统设计》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 钟文东 等: "《采用AS602的指纹钥匙应用系统的设计与实现》", 《电子产品世界》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469083A (en) * | 2015-11-13 | 2016-04-06 | 广东欧珀移动通信有限公司 | Fingerprint image processing method, fingerprint image processing device and terminal equipment |
| CN105469083B (en) * | 2015-11-13 | 2019-05-17 | Oppo广东移动通信有限公司 | Fingerprint image processing method, device and terminal device |
| CN106023330A (en) * | 2016-05-27 | 2016-10-12 | 赵敏 | Novel punched-card machine |
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Application publication date: 20131218 |
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