Arabic font recognition based on a texture analysis
Résumé
Existing works on the font recognition and based
on texture analysis often used Gray Level Cooccurence Matrix
(GLCM), Gabor Filters (GF) and wavelet. In this paper, we use
Steerable Pyramid (SP) for texture analysis of arabic
homogeneous and normalized text block in order to font
recognition. In this frameworks, we use K Nearest Neighbors
(KNN) and Back-propagation Artificial Neural Network
(BpANN) for classification. The Obtained experimental results
on the APTID/MF database (Arabic Printed Text Image/ Multi-
Font) are encouragents.