CA2174258A1 - Method and System for Automatic Transcription Correction - Google Patents

Method and System for Automatic Transcription Correction

Info

Publication number
CA2174258A1
CA2174258A1 CA2174258A CA2174258A CA2174258A1 CA 2174258 A1 CA2174258 A1 CA 2174258A1 CA 2174258 A CA2174258 A CA 2174258A CA 2174258 A CA2174258 A CA 2174258A CA 2174258 A1 CA2174258 A1 CA 2174258A1
Authority
CA
Canada
Prior art keywords
transcription
image
input text
character
modified
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.)
Granted
Application number
CA2174258A
Other languages
French (fr)
Other versions
CA2174258C (en
Inventor
Gary E. Kopec
Philip A. Chou
Leslie T. Niles
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.)
Xerox Corp
Original Assignee
Xerox Corp
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 Xerox Corp filed Critical Xerox Corp
Publication of CA2174258A1 publication Critical patent/CA2174258A1/en
Application granted granted Critical
Publication of CA2174258C publication Critical patent/CA2174258C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

Abstract

A method and system for automatically modifying an original transcription produced as the output of a recognition operation produces a second, modified transcription, such as, for example, automatically correcting an errorful transcription produced by an OCR operation. The invention uses information in an input text image of character images and in an original transcription associated with the input text image to modify aspects of a formal image source model that models as a grammar the spatial image structure of a set of text images. A recognition operation is then performed on the input text image using the modified formal image source model to produce a second, modified transcription. When the original transcription is errorful, the second transcription is a corrected transcription. Several aspectsof the formal image source model may be modified; in particular, character templates to be used in the recognition operation are trained in the font of the glyphs occurring in the input text image. When errors in the original transcription are caused by matching glyphs against templates that are inadequately specified for the given input text image, the subsequently performed recognition operation on the text image using the trained, font-specific character templates produces a more accurate transcription. Another image source model modification includes constructing a formal language model, based on a character n-gram technique, that models sequences of character n-grams occurring in the original transcription. In one implementation, the 2D image model is represented as a regular grammar in the form of a finite state transition network.
CA002174258A 1995-06-02 1996-04-16 Method and system for automatic transcription correction Expired - Fee Related CA2174258C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US460,454 1990-01-03
US08/460,454 US5883986A (en) 1995-06-02 1995-06-02 Method and system for automatic transcription correction

Publications (2)

Publication Number Publication Date
CA2174258A1 true CA2174258A1 (en) 1996-12-03
CA2174258C CA2174258C (en) 2000-06-06

Family

ID=23828779

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002174258A Expired - Fee Related CA2174258C (en) 1995-06-02 1996-04-16 Method and system for automatic transcription correction

Country Status (4)

Country Link
US (1) US5883986A (en)
EP (1) EP0745952B1 (en)
CA (1) CA2174258C (en)
DE (1) DE69616153T2 (en)

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CN113239776A (en) * 2021-05-10 2021-08-10 北方工业大学 Pedestrian re-identification method based on energy model

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Also Published As

Publication number Publication date
EP0745952A3 (en) 1997-09-10
US5883986A (en) 1999-03-16
EP0745952B1 (en) 2001-10-24
DE69616153D1 (en) 2001-11-29
EP0745952A2 (en) 1996-12-04
CA2174258C (en) 2000-06-06
DE69616153T2 (en) 2002-03-07

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