Building a new generation of handwriting recognition systems
Identifieur interne : 001473 ( Istex/Corpus ); précédent : 001472; suivant : 001474Building a new generation of handwriting recognition systems
Auteurs : C. Y. Suen ; R. Legault ; C. Nadal ; M. Cheriet ; L. LamSource :
- Pattern Recognition Letters [ 0167-8655 ] ; 1992.
Abstract
This paper gives an assessment of the current state of the art in handwriting recognition. It summarizes the lessons learned, the difficulties involved, and the challenges ahead. Based on a review of the recent achievements in off-line computer recognition of totally unconstrained handwritten characters, and extensive research, the authors attempt to identify new frontiers for research which may lead to further breakthroughs in this field. They will present some evidences and novel ideas on ways of stretching the limits of handwriting recognition systems aiming at outperforming human beings.
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DOI: 10.1016/0167-8655(93)90096-V
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Nadal</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Cheriet, M" sort="Cheriet, M" uniqKey="Cheriet M" first="M." last="Cheriet">M. Cheriet</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Lam, L" sort="Lam, L" uniqKey="Lam L" first="L." last="Lam">L. Lam</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:5C6E70A1EFD415796307D264152A13F20918E0C9</idno><date when="1993" year="1993">1993</date><idno type="doi">10.1016/0167-8655(93)90096-V</idno><idno type="url">https://api.istex.fr/document/5C6E70A1EFD415796307D264152A13F20918E0C9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001473</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Building a new generation of handwriting recognition systems</title><author><name sortKey="Suen, C Y" sort="Suen, C Y" uniqKey="Suen C" first="C. Y." last="Suen">C. Y. Suen</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Legault, R" sort="Legault, R" uniqKey="Legault R" first="R." last="Legault">R. Legault</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Nadal, C" sort="Nadal, C" uniqKey="Nadal C" first="C." last="Nadal">C. Nadal</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Cheriet, M" sort="Cheriet, M" uniqKey="Cheriet M" first="M." last="Cheriet">M. Cheriet</name><affiliation><mods:affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</mods:affiliation></affiliation></author><author><name sortKey="Lam, L" sort="Lam, L" uniqKey="Lam L" first="L." last="Lam">L. 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It summarizes the lessons learned, the difficulties involved, and the challenges ahead. Based on a review of the recent achievements in off-line computer recognition of totally unconstrained handwritten characters, and extensive research, the authors attempt to identify new frontiers for research which may lead to further breakthroughs in this field. They will present some evidences and novel ideas on ways of stretching the limits of handwriting recognition systems aiming at outperforming human beings.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>C.Y. Suen</name><affiliations><json:string>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</json:string></affiliations></json:item><json:item><name>R. Legault</name><affiliations><json:string>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</json:string></affiliations></json:item><json:item><name>C. 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They will present some evidences and novel ideas on ways of stretching the limits of handwriting recognition systems aiming at outperforming human beings.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Handwriting recognition</ce:text></ce:keyword><ce:keyword><ce:text>feature extraction</ce:text></ce:keyword><ce:keyword><ce:text>improving handwriting recognizers, recognition by experts</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Building a new generation of handwriting recognition systems</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Building a new generation of handwriting recognition systems</title></titleInfo><name type="personal"><namePart type="given">C.Y.</namePart><namePart type="family">Suen</namePart><affiliation>Centre for Pattern Recognition & Machine Intelligence, Concordia University, Montréal, Canada H3G 1M8</affiliation><description>Correspondence to: C.Y. 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They will present some evidences and novel ideas on ways of stretching the limits of handwriting recognition systems aiming at outperforming human beings.</abstract><subject><genre>Keywords</genre><topic>Handwriting recognition</topic><topic>feature extraction</topic><topic>improving handwriting recognizers, recognition by experts</topic></subject><relatedItem type="host"><titleInfo><title>Pattern Recognition Letters</title></titleInfo><titleInfo type="abbreviated"><title>PATREC</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199304</dateIssued></originInfo><identifier type="ISSN">0167-8655</identifier><identifier type="PII">S0167-8655(00)X0108-0</identifier><part><date>199304</date><detail type="issue"><title>Postal Processing and Character Recognition</title></detail><detail type="volume"><number>14</number><caption>vol.</caption></detail><detail type="issue"><number>4</number><caption>no.</caption></detail><extent unit="issue pages"><start>257</start><end>354</end></extent><extent unit="pages"><start>303</start><end>315</end></extent></part></relatedItem><identifier type="istex">5C6E70A1EFD415796307D264152A13F20918E0C9</identifier><identifier type="DOI">10.1016/0167-8655(93)90096-V</identifier><identifier type="PII">0167-8655(93)90096-V</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/5C6E70A1EFD415796307D264152A13F20918E0C9/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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