Structural analysis of Arabic handwriting: segmentation and recognition
Identifieur interne : 001419 ( France/Analysis ); précédent : 001418; suivant : 001420Structural analysis of Arabic handwriting: segmentation and recognition
Auteurs : Katerin Romeo-Pakker [France] ; Abderrahim Ameur [France] ; Christian Olivier [France] ; Yves Lecourtier [France]Source :
- Machine Vision and Applications [ 0932-8092 ] ; 1995-07-01.
Abstract
Abstract: In this paper, a structural method of recognising Arabic handwritten characters is proposed. The major problem in cursive text recognition is the segmentation into characters or into representative strokes. When we segment the cursive portions of words, we take into account the contextual properties of the Arabic grammar and the junction segments connecting the characters to each other along the writing line. The problem of overlapping characters is resolved with a contour-following algorithm associated with the labelling of the detected contours. In the recognition phase, the characters are gathered into ten families of candidate characters with similar shapes. Then a heterarchical analysis follows that checks the pattern via goal-directed feedback control.
Url:
DOI: 10.1007/BF01219591
Affiliations:
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ISTEX:7B6E3D821CC05604204E4347914B243F92591E35Le document en format XML
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Apps.</title><idno type="ISSN">0932-8092</idno><idno type="eISSN">1432-1769</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="1995-07-01">1995-07-01</date><biblScope unit="volume">8</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="232">232</biblScope><biblScope unit="page" to="240">240</biblScope></imprint><idno type="ISSN">0932-8092</idno></series><idno type="istex">7B6E3D821CC05604204E4347914B243F92591E35</idno><idno type="DOI">10.1007/BF01219591</idno><idno type="ArticleID">BF01219591</idno><idno type="ArticleID">Art6</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0932-8092</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper, a structural method of recognising Arabic handwritten characters is proposed. The major problem in cursive text recognition is the segmentation into characters or into representative strokes. When we segment the cursive portions of words, we take into account the contextual properties of the Arabic grammar and the junction segments connecting the characters to each other along the writing line. The problem of overlapping characters is resolved with a contour-following algorithm associated with the labelling of the detected contours. In the recognition phase, the characters are gathered into ten families of candidate characters with similar shapes. Then a heterarchical analysis follows that checks the pattern via goal-directed feedback control.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Haute-Normandie</li><li>Région Normandie</li></region><settlement><li>Mont-Saint-Aignan Cédex</li></settlement></list><tree><country name="France"><region name="Région Normandie"><name sortKey="Romeo Pakker, Katerin" sort="Romeo Pakker, Katerin" uniqKey="Romeo Pakker K" first="Katerin" last="Romeo-Pakker">Katerin Romeo-Pakker</name></region><name sortKey="Ameur, Abderrahim" sort="Ameur, Abderrahim" uniqKey="Ameur A" first="Abderrahim" last="Ameur">Abderrahim Ameur</name><name sortKey="Lecourtier, Yves" sort="Lecourtier, Yves" uniqKey="Lecourtier Y" first="Yves" last="Lecourtier">Yves Lecourtier</name><name sortKey="Olivier, Christian" sort="Olivier, Christian" uniqKey="Olivier C" first="Christian" last="Olivier">Christian Olivier</name><name sortKey="Romeo Pakker, Katerin" sort="Romeo Pakker, Katerin" uniqKey="Romeo Pakker K" first="Katerin" last="Romeo-Pakker">Katerin Romeo-Pakker</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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