A general approach for multi-oriented text line extraction of handwritten documents
Identifieur interne : 002823 ( Main/Merge ); précédent : 002822; suivant : 002824A general approach for multi-oriented text line extraction of handwritten documents
Auteurs : Nazih Ouwayed [France] ; Abdel Belaïd [France]Source :
- International Journal on Document Analysis and Recognition (IJDAR) [ 1433-2833 ] ; 2012-12-01.
English descriptors
- KwdEn :
- mix :
Abstract
Abstract: The multi-orientation occurs frequently in ancient handwritten documents, where the writers try to update a document by adding some annotations in the margins. Due to the margin narrowness, this gives rise to lines in different directions and orientations. Document recognition needs to find the lines everywhere they are written whatever their orientation. This is why we propose in this paper a new approach allowing us to extract the multi-oriented lines in scanned documents. Because of the multi-orientation of lines and their dispersion in the page, we use an image meshing allowing us to progressively and locally determine the lines. Once the meshing is established, the orientation is determined using the Wigner–Ville distribution on the projection histogram profile. This local orientation is then enlarged to limit the orientation in the neighborhood. Afterward, the text lines are extracted locally in each zone basing on the follow-up of the orientation lines and the proximity of connected components. Finally, the connected components that overlap and touch in adjacent lines are separated. The morphology analysis of the terminal letters of Arabic words is here considered. The proposed approach has been experimented on 100 documents reaching an accuracy of about 98.6%.
Url:
DOI: 10.1007/s10032-011-0172-6
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cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><idno type="DOI">10.1007/s10032-011-0172-6</idno><series><title level="j">International Journal on Document Analysis and Recognition</title><idno type="ISSN">1433-2833</idno><imprint><date type="datePub">2011-09-01</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Cohen's class distributions</term><term>Multi-oriented handwritten Arabic documents</term><term>Overlapping and touching lines</term><term>Projection profile</term><term>Skew angle estimation</term><term>Text line segmentation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The multi-orientation occurs frequently in ancient handwritten documents, where the writers try to update a document by adding some annotations in the margins. Due to the margin narrowness, this gives rise to lines in different directions and orientations. Document recognition needs to find the lines everywhere they are written whatever their orientation. This is why we propose in this paper a new approach allowing us to extract the multi-oriented lines in scanned documents. Because of the multi-orientation of lines and their dispersion in the page, we use an image meshing allowing us to progressively and locally determine the lines. Once the meshing is established, the orientation is determined using the Wigner-Ville distribution on the projection histogram profile. This local orientation is then enlarged to limit the orientation in the neighborhood. Afterward, the text lines are extracted locally in each zone basing on the follow-up of the orientation lines and the proximity of connected components. Finally, the connected components that overlap and touch in adjacent lines are separated. The morphology analysis of the terminal letters of Arabic words is here considered. The proposed approach has been experimented on 100 documents reaching an accuracy of about 98.6%</div></front></TEI></HAL><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A general approach for multi-oriented text line extraction of handwritten documents</title><author><name sortKey="Ouwayed, Nazih" sort="Ouwayed, Nazih" uniqKey="Ouwayed N" first="Nazih" last="Ouwayed">Nazih Ouwayed</name></author><author><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name><affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:A8214D7015C2B6C010C966B3C54C63E4D109978C</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1007/s10032-011-0172-6</idno><idno type="url">https://api.istex.fr/ark:/67375/VQC-WFSXTXMK-W/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">002771</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002771</idno><idno type="wicri:Area/Istex/Curation">002738</idno><idno type="wicri:Area/Istex/Checkpoint">000681</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000681</idno><idno type="wicri:doubleKey">1433-2833:2011:Ouwayed N:a:general:approach</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A general approach for multi-oriented text line extraction of handwritten documents</title><author><name sortKey="Ouwayed, Nazih" sort="Ouwayed, Nazih" uniqKey="Ouwayed N" first="Nazih" last="Ouwayed">Nazih Ouwayed</name><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, University Nancy 2, Vandoeuvre-Lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement><settlement type="city" wicri:auto="agglo">Nancy</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, University Nancy 2, Vandoeuvre-Lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement><settlement type="city" wicri:auto="agglo">Nancy</settlement></placeName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author></analytic><monogr></monogr><series><title level="j">International Journal on Document Analysis and Recognition (IJDAR)</title><title level="j" type="abbrev">IJDAR</title><idno type="ISSN">1433-2833</idno><idno type="eISSN">1433-2825</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="2012-12-01">2012-12-01</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="297">297</biblScope><biblScope unit="page" to="314">314</biblScope></imprint><idno type="ISSN">1433-2833</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1433-2833</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cohen’s class distributions</term><term>Multi-oriented handwritten Arabic documents</term><term>Overlapping and touching lines</term><term>Projection profile</term><term>Skew angle estimation</term><term>Text line segmentation</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The multi-orientation occurs frequently in ancient handwritten documents, where the writers try to update a document by adding some annotations in the margins. Due to the margin narrowness, this gives rise to lines in different directions and orientations. Document recognition needs to find the lines everywhere they are written whatever their orientation. This is why we propose in this paper a new approach allowing us to extract the multi-oriented lines in scanned documents. Because of the multi-orientation of lines and their dispersion in the page, we use an image meshing allowing us to progressively and locally determine the lines. Once the meshing is established, the orientation is determined using the Wigner–Ville distribution on the projection histogram profile. This local orientation is then enlarged to limit the orientation in the neighborhood. Afterward, the text lines are extracted locally in each zone basing on the follow-up of the orientation lines and the proximity of connected components. Finally, the connected components that overlap and touch in adjacent lines are separated. The morphology analysis of the terminal letters of Arabic words is here considered. The proposed approach has been experimented on 100 documents reaching an accuracy of about 98.6%.</div></front></TEI></ISTEX></double></record>Pour manipuler ce document sous Unix (Dilib)
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