Multi-oriented English Text Line Identification
Identifieur interne : 001700 ( Main/Exploration ); précédent : 001699; suivant : 001701Multi-oriented English Text Line Identification
Auteurs : U. Pal [Inde] ; S. Sinha [Inde] ; Bidyut Baran Chaudhuri [Inde]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: There are many artistic documents where text lines of a single page may have different inclinations (orientations). To enhance the ability of document analysis system, we have to extract text line in multiple orientations. In this paper, we propose a robust technique to detect English text lines of arbitrary orientation in a single document page. We propose here a bottom-up approach where the connected components are at first labelled. They are then clustered into word groups. Text lines of arbitrary orientation are identified from the estimation of these word groups. From an experiment of 3700 text lines, we obtained an accuracy of 98.3% by the proposed method.
Url:
DOI: 10.1007/3-540-45103-X_150
Affiliations:
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Sinha</name></author><author><name sortKey="Chaudhuri, B" sort="Chaudhuri, B" uniqKey="Chaudhuri B" first="B." last="Chaudhuri">Bidyut Baran Chaudhuri</name><affiliation><country>Inde</country><placeName><settlement type="city">Calcutta</settlement><region type="province">Bengale-Occidental</region></placeName><orgName type="lab" n="5">Institut indien de statistiques</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:A000FF3BAA4C204ED4807B87AC3462AD412C9B88</idno><date when="2003" year="2003">2003</date><idno type="doi">10.1007/3-540-45103-X_150</idno><idno type="url">https://api.istex.fr/document/A000FF3BAA4C204ED4807B87AC3462AD412C9B88/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002186</idno><idno type="wicri:Area/Istex/Curation">002037</idno><idno type="wicri:Area/Istex/Checkpoint">000E73</idno><idno type="wicri:doubleKey">0302-9743:2003:Pal U:multi:oriented:english</idno><idno type="wicri:Area/Main/Merge">001777</idno><idno type="wicri:Area/Main/Curation">001700</idno><idno type="wicri:Area/Main/Exploration">001700</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Multi-oriented English Text Line Identification</title><author><name sortKey="Pal, U" sort="Pal, U" uniqKey="Pal U" first="U." last="Pal">U. Pal</name><affiliation wicri:level="1"><country xml:lang="fr">Inde</country><wicri:regionArea>Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. Road, 108, Kolkata</wicri:regionArea><wicri:noRegion>Kolkata</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Inde</country></affiliation></author><author><name sortKey="Sinha, S" sort="Sinha, S" uniqKey="Sinha S" first="S." last="Sinha">S. Sinha</name><affiliation wicri:level="1"><country xml:lang="fr">Inde</country><wicri:regionArea>Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, 203 B. T. 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Road, 108, Kolkata</wicri:regionArea><wicri:noRegion>Kolkata</wicri:noRegion><placeName><settlement type="city">Calcutta</settlement><region type="province">Bengale-Occidental</region></placeName><orgName type="lab" n="5">Institut indien de statistiques</orgName></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2003</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">A000FF3BAA4C204ED4807B87AC3462AD412C9B88</idno><idno type="DOI">10.1007/3-540-45103-X_150</idno><idno type="ChapterID">150</idno><idno type="ChapterID">Chap150</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: There are many artistic documents where text lines of a single page may have different inclinations (orientations). To enhance the ability of document analysis system, we have to extract text line in multiple orientations. In this paper, we propose a robust technique to detect English text lines of arbitrary orientation in a single document page. We propose here a bottom-up approach where the connected components are at first labelled. They are then clustered into word groups. Text lines of arbitrary orientation are identified from the estimation of these word groups. From an experiment of 3700 text lines, we obtained an accuracy of 98.3% by the proposed method.</div></front></TEI><affiliations><list><country><li>Inde</li></country><region><li>Bengale-Occidental</li></region><settlement><li>Calcutta</li></settlement><orgName><li>Institut indien de statistiques</li></orgName></list><tree><country name="Inde"><noRegion><name sortKey="Pal, U" sort="Pal, U" uniqKey="Pal U" first="U." last="Pal">U. Pal</name></noRegion><name sortKey="Chaudhuri, B" sort="Chaudhuri, B" uniqKey="Chaudhuri B" first="B." last="Chaudhuri">Bidyut Baran Chaudhuri</name><name sortKey="Pal, U" sort="Pal, U" uniqKey="Pal U" first="U." last="Pal">U. Pal</name><name sortKey="Sinha, S" sort="Sinha, S" uniqKey="Sinha S" first="S." last="Sinha">S. Sinha</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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