A hidden Markov model-based character extraction method
Identifieur interne : 000D48 ( Main/Merge ); précédent : 000D47; suivant : 000D49A hidden Markov model-based character extraction method
Auteurs : SONGTAO HUANG [Canada] ; Majid Ahmadi [Canada] ; M. A. Sid-Ahmed [Canada]Source :
- Pattern recognition [ 0031-3203 ] ; 2008.
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- Pascal (Inist)
English descriptors
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Abstract
In this paper a hidden Markov model (HMM)-based binarization algorithm is presented. This algorithm performs well for images with nonuniform background. To test the usefullness of the proposed technique some images of composite documents of printed characters were used. These characters were extracted through the proposed binarization algorithms and used in a commercial OCR. A comparative study of various binarization techniques is also presented.
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">A hidden Markov model-based character extraction method</title><author><name sortKey="Songtao Huang" sort="Songtao Huang" uniqKey="Songtao Huang" last="Songtao Huang">SONGTAO HUANG</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></affiliation></author><author><name sortKey="Ahmadi, Majid" sort="Ahmadi, Majid" uniqKey="Ahmadi M" first="Majid" last="Ahmadi">Majid Ahmadi</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></affiliation></author><author><name sortKey="Sid Ahmed, M A" sort="Sid Ahmed, M A" uniqKey="Sid Ahmed M" first="M. A." last="Sid-Ahmed">M. A. Sid-Ahmed</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">08-0319208</idno><date when="2008">2008</date><idno type="stanalyst">PASCAL 08-0319208 INIST</idno><idno type="RBID">Pascal:08-0319208</idno><idno type="wicri:Area/PascalFrancis/Corpus">000278</idno><idno type="wicri:Area/PascalFrancis/Curation">000506</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000258</idno><idno type="wicri:doubleKey">0031-3203:2008:Songtao Huang:a:hidden:markov</idno><idno type="wicri:Area/Main/Merge">000D48</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A hidden Markov model-based character extraction method</title><author><name sortKey="Songtao Huang" sort="Songtao Huang" uniqKey="Songtao Huang" last="Songtao Huang">SONGTAO HUANG</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></affiliation></author><author><name sortKey="Ahmadi, Majid" sort="Ahmadi, Majid" uniqKey="Ahmadi M" first="Majid" last="Ahmadi">Majid Ahmadi</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></affiliation></author><author><name sortKey="Sid Ahmed, M A" sort="Sid Ahmed, M A" uniqKey="Sid Ahmed M" first="M. A." last="Sid-Ahmed">M. A. Sid-Ahmed</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue</s1><s2>Windsor, Ontario, N9B 3P4</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Canada</country><wicri:noRegion>Windsor, Ontario, N9B 3P4</wicri:noRegion></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="2008">2008</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>Algorithm</term><term>Background</term><term>Comparative study</term><term>Feature extraction</term><term>Hidden Markov models</term><term>Optical character recognition</term><term>Pattern extraction</term><term>Pattern recognition</term><term>Printed character</term><term>Probabilistic approach</term><term>Signal processing</term><term>Threshold detection</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Modèle Markov variable cachée</term><term>Extraction forme</term><term>Algorithme</term><term>Caractère imprimé</term><term>Reconnaissance optique caractère</term><term>Etude comparative</term><term>Détection seuil</term><term>Approche probabiliste</term><term>Extraction caractéristique</term><term>Reconnaissance forme</term><term>Traitement signal</term><term>Arrière plan</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper a hidden Markov model (HMM)-based binarization algorithm is presented. This algorithm performs well for images with nonuniform background. To test the usefullness of the proposed technique some images of composite documents of printed characters were used. These characters were extracted through the proposed binarization algorithms and used in a commercial OCR. A comparative study of various binarization techniques is also presented.</div></front></TEI><affiliations><list><country><li>Canada</li></country></list><tree><country name="Canada"><noRegion><name sortKey="Songtao Huang" sort="Songtao Huang" uniqKey="Songtao Huang" last="Songtao Huang">SONGTAO HUANG</name></noRegion><name sortKey="Ahmadi, Majid" sort="Ahmadi, Majid" uniqKey="Ahmadi M" first="Majid" last="Ahmadi">Majid Ahmadi</name><name sortKey="Sid Ahmed, M A" sort="Sid Ahmed, M A" uniqKey="Sid Ahmed M" first="M. A." last="Sid-Ahmed">M. A. Sid-Ahmed</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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