Phrase-based correction model for improving handwriting recognition accuracies
Identifieur interne : 000A72 ( Main/Exploration ); précédent : 000A71; suivant : 000A73Phrase-based correction model for improving handwriting recognition accuracies
Auteurs : Faisal Farooq [États-Unis] ; Damien Jose [États-Unis] ; Venugopal Govindaraju [États-Unis]Source :
- Pattern recognition [ 0031-3203 ] ; 2009.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
We propose a method for increasing word recognition accuracies by correcting the output of a handwriting recognition system. We treat the handwriting recognizer as a black box, such that there is no access to its internals. This enables us to keep our algorithm general and independent of any particular system. We use a novel method for correcting the output based on a "phrase-based" system in contrast to traditional source-channel models. We report the accuracies of two in-house handwritten word recognizers before and after the correction. We achieve highly encouraging results for a large synthetically generated dataset. We also report results for a commercially available OCR on real data.
Affiliations:
- États-Unis
- État de New York
- Buffalo (New York)
- Université d'État de New York, Université d'État de New York à Buffalo
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Le document en format XML
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aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Govindaraju, Venu" sort="Govindaraju, Venu" uniqKey="Govindaraju V" first="Venu" last="Govindaraju">Venugopal Govindaraju</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Center for Unified Biometrics and Sensors, State University of New York at Buffalo</s1><s2>Amherst, NY 14228</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État de New York</region></placeName><placeName><settlement type="city">Buffalo (New York)</settlement><region type="state">État de New York</region></placeName><orgName type="university" n="3">Université d'État de New York à Buffalo</orgName><orgName type="institution">Université d'État de New York</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno 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Buffalo</s1><s2>Amherst, NY 14228</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Jose, Damien" sort="Jose, Damien" uniqKey="Jose D" first="Damien" last="Jose">Damien Jose</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Center for Unified Biometrics and Sensors, State University of New York at Buffalo</s1><s2>Amherst, NY 14228</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Govindaraju, Venu" sort="Govindaraju, Venu" uniqKey="Govindaraju V" first="Venu" last="Govindaraju">Venugopal Govindaraju</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Center for Unified Biometrics and Sensors, State University of New York at Buffalo</s1><s2>Amherst, NY 14228</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État de New York</region></placeName><placeName><settlement type="city">Buffalo (New York)</settlement><region type="state">État de New York</region></placeName><orgName type="university" n="3">Université d'État de New York à Buffalo</orgName><orgName type="institution">Université d'État de New York</orgName></affiliation></author></analytic><series><title level="j" type="main">Pattern recognition</title><title level="j" type="abbreviated">Pattern recogn.</title><idno type="ISSN">0031-3203</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Pattern recognition</title><title level="j" type="abbreviated">Pattern recogn.</title><idno type="ISSN">0031-3203</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accuracy</term><term>Algorithm</term><term>Channel estimation</term><term>Error correction</term><term>Handwriting recognition</term><term>Manuscript character</term><term>Noisy channel</term><term>Optical character recognition</term><term>Parameter estimation</term><term>Pattern recognition</term><term>Speech processing</term><term>Speech recognition</term><term>Viterbi decoding</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance écriture</term><term>Précision</term><term>Reconnaissance parole</term><term>Caractère manuscrit</term><term>Algorithme</term><term>Estimation canal</term><term>Reconnaissance optique caractère</term><term>Canal avec bruit</term><term>Correction erreur</term><term>Décodage Viterbi</term><term>Reconnaissance forme</term><term>Traitement parole</term><term>Estimation paramètre</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We propose a method for increasing word recognition accuracies by correcting the output of a handwriting recognition system. We treat the handwriting recognizer as a black box, such that there is no access to its internals. This enables us to keep our algorithm general and independent of any particular system. We use a novel method for correcting the output based on a "phrase-based" system in contrast to traditional source-channel models. We report the accuracies of two in-house handwritten word recognizers before and after the correction. We achieve highly encouraging results for a large synthetically generated dataset. We also report results for a commercially available OCR on real data.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État de New York</li></region><settlement><li>Buffalo (New York)</li></settlement><orgName><li>Université d'État de New York</li><li>Université d'État de New York à Buffalo</li></orgName></list><tree><country name="États-Unis"><region name="État de New York"><name sortKey="Farooq, Faisal" sort="Farooq, Faisal" uniqKey="Farooq F" first="Faisal" last="Farooq">Faisal Farooq</name></region><name sortKey="Govindaraju, Venu" sort="Govindaraju, Venu" uniqKey="Govindaraju V" first="Venu" last="Govindaraju">Venugopal Govindaraju</name><name sortKey="Jose, Damien" sort="Jose, Damien" uniqKey="Jose D" first="Damien" last="Jose">Damien Jose</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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