Video-based handwritten Chinese character recognition
Identifieur interne : 001362 ( Main/Exploration ); précédent : 001361; suivant : 001363Video-based handwritten Chinese character recognition
Auteurs : XIAOOU TANG [Hong Kong] ; FENG LIN [Hong Kong] ; JIANZHUANG LIU [Hong Kong]Source :
- IEEE transactions on circuits and systems for video technology [ 1051-8215 ] ; 2005.
Descripteurs français
- Pascal (Inist)
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.
Affiliations:
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Le document en format XML
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Kong</country><placeName><settlement type="city">Sha Tin</settlement></placeName><orgName type="university">Université chinoise de Hong Kong</orgName></affiliation></author><author><name sortKey="Jianzhuang Liu" sort="Jianzhuang Liu" uniqKey="Jianzhuang Liu" last="Jianzhuang Liu">JIANZHUANG LIU</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Information Engineering, The Chinese University of Hong Kong</s1><s2>Shatin</s2><s3>HKG</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Hong Kong</country><placeName><settlement type="city">Sha Tin</settlement></placeName><orgName type="university">Université chinoise de Hong Kong</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">05-0148482</idno><date when="2005">2005</date><idno type="stanalyst">PASCAL 05-0148482 INIST</idno><idno type="RBID">Pascal:05-0148482</idno><idno type="wicri:Area/PascalFrancis/Corpus">000482</idno><idno 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Kong</orgName></affiliation></author><author><name sortKey="Feng Lin" sort="Feng Lin" uniqKey="Feng Lin" last="Feng Lin">FENG LIN</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Information Engineering, The Chinese University of Hong Kong</s1><s2>Shatin</s2><s3>HKG</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Hong Kong</country><placeName><settlement type="city">Sha Tin</settlement></placeName><orgName type="university">Université chinoise de Hong Kong</orgName></affiliation></author><author><name sortKey="Jianzhuang Liu" sort="Jianzhuang Liu" uniqKey="Jianzhuang Liu" last="Jianzhuang Liu">JIANZHUANG LIU</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Information Engineering, The Chinese University of Hong Kong</s1><s2>Shatin</s2><s3>HKG</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Hong Kong</country><placeName><settlement type="city">Sha Tin</settlement></placeName><orgName type="university">Université chinoise de Hong Kong</orgName></affiliation></author></analytic><series><title level="j" type="main">IEEE transactions on circuits and systems for video technology</title><title level="j" type="abbreviated">IEEE trans. circuits syst. video technol.</title><idno type="ISSN">1051-8215</idno><imprint><date when="2005">2005</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">IEEE transactions on circuits and systems for video technology</title><title level="j" type="abbreviated">IEEE trans. circuits syst. video technol.</title><idno type="ISSN">1051-8215</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chinese</term><term>Error correction</term><term>Feature extraction</term><term>Handwritten character recognition</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance caractère manuscrit</term><term>Chinois</term><term>Extraction caractéristique</term><term>Correction erreur</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><affiliations><list><country><li>Hong Kong</li></country><settlement><li>Sha Tin</li></settlement><orgName><li>Université chinoise de Hong Kong</li></orgName></list><tree><country name="Hong Kong"><noRegion><name sortKey="Xiaoou Tang" sort="Xiaoou Tang" uniqKey="Xiaoou Tang" last="Xiaoou Tang">XIAOOU TANG</name></noRegion><name sortKey="Feng Lin" sort="Feng Lin" uniqKey="Feng Lin" last="Feng Lin">FENG LIN</name><name sortKey="Jianzhuang Liu" sort="Jianzhuang Liu" uniqKey="Jianzhuang Liu" last="Jianzhuang Liu">JIANZHUANG LIU</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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