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LINFI Laboratory Computer Sciences Department

University of Mohammed khider Biskra

Biskra, Algeria Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.




Nowadays, the recognition of Arabic handwritten become one of the most challenging issues because of the intrinsic characteristics of the Arabic language. In this work, we investigate the performance of several texture descriptors on the recognition of Arabic handwritten words. We propose to describe Arabic words using Local Binary Patterns (LBP) and Gray Leve...



 Télécharger l'article :A Comparative Study on Arabic Handwritten Words Recognition Using Textures Descriptors