CA2463230A1 - A method and apparatus for decoding handwritten characters - Google Patents

A method and apparatus for decoding handwritten characters Download PDF

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Publication number
CA2463230A1
CA2463230A1 CA002463230A CA2463230A CA2463230A1 CA 2463230 A1 CA2463230 A1 CA 2463230A1 CA 002463230 A CA002463230 A CA 002463230A CA 2463230 A CA2463230 A CA 2463230A CA 2463230 A1 CA2463230 A1 CA 2463230A1
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Prior art keywords
character
model
models
comparing
series
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CA002463230A
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French (fr)
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CA2463230C (en
Inventor
Jonathon Leigh Napper
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.)
Silverbrook Research Pty Ltd
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Jonathon Leigh Napper
Silverbrook Research Pty Ltd
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Publication of CA2463230A1 publication Critical patent/CA2463230A1/en
Application granted granted Critical
Publication of CA2463230C publication Critical patent/CA2463230C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/142Image acquisition using hand-held instruments; Constructional details of the instruments
    • G06V30/1423Image acquisition using hand-held instruments; Constructional details of the instruments the instrument generating sequences of position coordinates corresponding to handwriting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/24Character recognition characterised by the processing or recognition method
    • G06V30/242Division of the character sequences into groups prior to recognition; Selection of dictionaries
    • G06V30/244Division of the character sequences into groups prior to recognition; Selection of dictionaries using graphical properties, e.g. alphabet type or font
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Character Discrimination (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Vending Machines For Individual Products (AREA)
  • Character Input (AREA)
  • Input From Keyboards Or The Like (AREA)
  • Electronic Switches (AREA)

Abstract

Disclosed is a method of performing written character recognition, including sequentially comparing a given input character with one of a series of stored character models. The step of comparing further includes the steps of:
decomposing the given input character into one or more segments in accordance with a segmentation scheme associated with the present character model;
evaluating the segment or segments against a segment model associated with the present character model, such that the evaluation produces a score which measures the degree of conformity with the model; repeating said step of comparing for a plurality of character models in the series of character models; and selecting the character model which is assigned the highest score and classifying the input character as the character associated with that character model.
CA002463230A 2001-10-15 2002-10-15 A method and apparatus for decoding handwritten characters Expired - Fee Related CA2463230C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
AUPR8245A AUPR824501A0 (en) 2001-10-15 2001-10-15 Methods and systems (npw003)
AUPR8245 2001-10-15
PCT/AU2002/001393 WO2003034325A1 (en) 2001-10-15 2002-10-15 A method and apparatus for decoding handwritten characters

Publications (2)

Publication Number Publication Date
CA2463230A1 true CA2463230A1 (en) 2003-04-24
CA2463230C CA2463230C (en) 2009-07-28

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CA002463230A Expired - Fee Related CA2463230C (en) 2001-10-15 2002-10-15 A method and apparatus for decoding handwritten characters

Country Status (12)

Country Link
US (6) US7359551B2 (en)
EP (1) EP1444642B1 (en)
JP (1) JP4274941B2 (en)
KR (1) KR100651762B1 (en)
CN (1) CN100533470C (en)
AT (1) ATE386989T1 (en)
AU (3) AUPR824501A0 (en)
CA (1) CA2463230C (en)
DE (1) DE60225170T2 (en)
IL (1) IL161383A0 (en)
WO (1) WO2003034325A1 (en)
ZA (1) ZA200402925B (en)

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CN113407100A (en) * 2015-08-26 2021-09-17 谷歌有限责任公司 Time-based word segmentation

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9286527B2 (en) 2014-02-20 2016-03-15 Google Inc. Segmentation of an input by cut point classification
CN113407100A (en) * 2015-08-26 2021-09-17 谷歌有限责任公司 Time-based word segmentation
CN113407100B (en) * 2015-08-26 2024-03-29 谷歌有限责任公司 Time-based word segmentation

Also Published As

Publication number Publication date
JP2005505868A (en) 2005-02-24
DE60225170D1 (en) 2008-04-03
US7848574B2 (en) 2010-12-07
AU2002333064B2 (en) 2006-07-20
WO2003034325A1 (en) 2003-04-24
EP1444642B1 (en) 2008-02-20
EP1444642A1 (en) 2004-08-11
AU2006225217A1 (en) 2006-10-26
US8009914B2 (en) 2011-08-30
KR100651762B1 (en) 2006-12-01
KR20050036864A (en) 2005-04-20
AU2006225217B2 (en) 2008-02-28
US20080144938A1 (en) 2008-06-19
CA2463230C (en) 2009-07-28
US7359551B2 (en) 2008-04-15
CN100533470C (en) 2009-08-26
US8280168B2 (en) 2012-10-02
AUPR824501A0 (en) 2001-11-08
US7697761B2 (en) 2010-04-13
IL161383A0 (en) 2004-09-27
JP4274941B2 (en) 2009-06-10
US20110293181A1 (en) 2011-12-01
US20120328195A1 (en) 2012-12-27
US20100189352A1 (en) 2010-07-29
ATE386989T1 (en) 2008-03-15
EP1444642A4 (en) 2006-07-26
US20110052066A1 (en) 2011-03-03
US20050175241A1 (en) 2005-08-11
CN1571979A (en) 2005-01-26
DE60225170T2 (en) 2009-03-05
ZA200402925B (en) 2005-02-23

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