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Video-based handwritten Chinese character recognition

Identifieur interne : 000482 ( PascalFrancis/Corpus ); précédent : 000481; suivant : 000483

Video-based handwritten Chinese character recognition

Auteurs : XIAOOU TANG ; FENG LIN ; JIANZHUANG LIU

Source :

RBID : Pascal:05-0148482

Descripteurs français

English descriptors

Abstract

In this work, we propose a video-based handwritten Chinese character recognition system. By using several error correction techniques, the algorithm works effectively against various shadow and noise problems for video-based stroke-tracing of complex Chinese characters. The stroke temporal information similar to an online OCR system is accurately extracted. Recognition experiments on a large set of handwritten Chinese characters clearly demonstrates the efficacy of the system.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 1051-8215
A03   1    @0 IEEE trans. circuits syst. video technol.
A05       @2 15
A06       @2 1
A08 01  1  ENG  @1 Video-based handwritten Chinese character recognition
A11 01  1    @1 XIAOOU TANG
A11 02  1    @1 FENG LIN
A11 03  1    @1 JIANZHUANG LIU
A14 01      @1 Department of Information Engineering, The Chinese University of Hong Kong @2 Shatin @3 HKG @Z 1 aut. @Z 2 aut. @Z 3 aut.
A20       @1 167-174
A21       @1 2005
A23 01      @0 ENG
A43 01      @1 INIST @2 22423 @5 354000122493150200
A44       @0 0000 @1 © 2005 INIST-CNRS. All rights reserved.
A45       @0 28 ref.
A47 01  1    @0 05-0148482
A60       @1 P
A61       @0 A
A64 01  1    @0 IEEE transactions on circuits and systems for video technology
A66 01      @0 USA
C01 01    ENG  @0 In this work, we propose a video-based handwritten Chinese character recognition system. By using several error correction techniques, the algorithm works effectively against various shadow and noise problems for video-based stroke-tracing of complex Chinese characters. The stroke temporal information similar to an online OCR system is accurately extracted. Recognition experiments on a large set of handwritten Chinese characters clearly demonstrates the efficacy of the system.
C02 01  X    @0 001D04A05C
C03 01  3  FRE  @0 Reconnaissance caractère manuscrit @5 01
C03 01  3  ENG  @0 Handwritten character recognition @5 01
C03 02  X  FRE  @0 Chinois @5 02
C03 02  X  ENG  @0 Chinese @5 02
C03 02  X  SPA  @0 Chino @5 02
C03 03  3  FRE  @0 Extraction caractéristique @5 03
C03 03  3  ENG  @0 Feature extraction @5 03
C03 04  X  FRE  @0 Correction erreur @5 04
C03 04  X  ENG  @0 Error correction @5 04
C03 04  X  SPA  @0 Corrección error @5 04
N21       @1 101
N44 01      @1 PSI
N82       @1 PSI

Format Inist (serveur)

NO : PASCAL 05-0148482 INIST
ET : Video-based handwritten Chinese character recognition
AU : XIAOOU TANG; FENG LIN; JIANZHUANG LIU
AF : Department of Information Engineering, The Chinese University of Hong Kong/Shatin/Hong-Kong (1 aut., 2 aut., 3 aut.)
DT : Publication en série; Niveau analytique
SO : IEEE transactions on circuits and systems for video technology; ISSN 1051-8215; Etats-Unis; Da. 2005; Vol. 15; No. 1; Pp. 167-174; Bibl. 28 ref.
LA : Anglais
EA : In this work, we propose a video-based handwritten Chinese character recognition system. By using several error correction techniques, the algorithm works effectively against various shadow and noise problems for video-based stroke-tracing of complex Chinese characters. The stroke temporal information similar to an online OCR system is accurately extracted. Recognition experiments on a large set of handwritten Chinese characters clearly demonstrates the efficacy of the system.
CC : 001D04A05C
FD : Reconnaissance caractère manuscrit; Chinois; Extraction caractéristique; Correction erreur
ED : Handwritten character recognition; Chinese; Feature extraction; Error correction
SD : Chino; Corrección error
LO : INIST-22423.354000122493150200
ID : 05-0148482

Links to Exploration step

Pascal:05-0148482

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