Segmentation and recognition of Arabic characters by structural classification
Identifieur interne : 002361 ( Main/Exploration ); précédent : 002360; suivant : 002362Segmentation and recognition of Arabic characters by structural classification
Auteurs : B. M. F. Bushofa [Royaume-Uni] ; M. Spann [Royaume-Uni]Source :
- Image and Vision Computing [ 0262-8856 ] ; 1996.
Abstract
Arabic characters differ significantly from other characters, such as Latin and Chinese characters, in that they are written cursively in both printed and handwritten forms, and consist of 28 main characters. However, most of their shapes change according to their position in the word. These shapes, together with some other secondaries, raise the number of classes to 120. Furthermore, some of these characters have the same shape but are distinguished by the presence of one, two or three dots above or below them. In this paper, words are first segmented into characters and secondaries are removed using newly developed algorithms. This reduced the number of classes to 32. Information about these secondaries, such as their number, position and type, is recorded and used in the final recognition stage. Features of the skeletonized character are used for classification using a decision tree. A recognition rate of 97.23% over a set of 4260 samples is achieved.
Url:
DOI: 10.1016/S0262-8856(96)01119-5
Affiliations:
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Le document en format XML
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Spann</name><affiliation wicri:level="4"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Electronic and Electrical Engineering, The University of Birmingham, Edgbaston, Birmingham B15 2TT</wicri:regionArea><orgName type="university">Université de Birmingham</orgName><placeName><settlement type="city">Birmingham</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Midlands de l'Ouest</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Image and Vision Computing</title><title level="j" type="abbrev">IMAVIS</title><idno type="ISSN">0262-8856</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1996">1996</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="167">167</biblScope><biblScope unit="page" to="179">179</biblScope></imprint><idno type="ISSN">0262-8856</idno></series><idno type="istex">2595523F4B1B1297449AC424C0E87993B8332E8D</idno><idno type="DOI">10.1016/S0262-8856(96)01119-5</idno><idno type="PII">S0262-8856(96)01119-5</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0262-8856</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Arabic characters differ significantly from other characters, such as Latin and Chinese characters, in that they are written cursively in both printed and handwritten forms, and consist of 28 main characters. However, most of their shapes change according to their position in the word. These shapes, together with some other secondaries, raise the number of classes to 120. Furthermore, some of these characters have the same shape but are distinguished by the presence of one, two or three dots above or below them. In this paper, words are first segmented into characters and secondaries are removed using newly developed algorithms. This reduced the number of classes to 32. Information about these secondaries, such as their number, position and type, is recorded and used in the final recognition stage. Features of the skeletonized character are used for classification using a decision tree. A recognition rate of 97.23% over a set of 4260 samples is achieved.</div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country><region><li>Angleterre</li><li>Midlands de l'Ouest</li></region><settlement><li>Birmingham</li></settlement><orgName><li>Université de Birmingham</li></orgName></list><tree><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Bushofa, B M F" sort="Bushofa, B M F" uniqKey="Bushofa B" first="B. M. F." last="Bushofa">B. M. F. Bushofa</name></region><name sortKey="Spann, M" sort="Spann, M" uniqKey="Spann M" first="M." last="Spann">M. Spann</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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