Human Reading Based Strategies for Off-Line Arabic Word Recognition
Identifieur interne : 000C25 ( Main/Exploration ); précédent : 000C24; suivant : 000C26Human Reading Based Strategies for Off-Line Arabic Word Recognition
Auteurs : Abdel Belaïd [France] ; Christophe Choisy [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: This paper summarizes techniques proposed for off-line Arabic word recognition. This point of view concerns the human reading favoring an interactive mechanism between global memorization and local verification sim- plifying the recognition of complex scripts such as Arabic. According to this consideration, specific papers are analyzed with comments on strategies.
Url:
DOI: 10.1007/978-3-540-78199-8_3
Affiliations:
- France
- Alsace-Champagne-Ardenne-Lorraine, Languedoc-Roussillon, Languedoc-Roussillon-Midi-Pyrénées, Lorraine, Région Lorraine
- Aimargues, Nancy, Villers-Lès-Nancy
- Centre national de la recherche scientifique, Institut national de recherche en informatique et en automatique, Laboratoire lorrain de recherche en informatique et ses applications, Université de Lorraine
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: This paper summarizes techniques proposed for off-line Arabic word recognition. This point of view concerns the human reading favoring an interactive mechanism between global memorization and local verification sim- plifying the recognition of complex scripts such as Arabic. According to this consideration, specific papers are analyzed with comments on strategies.</div>
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