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Arabic text recognition systems encounter many difficulties in processing multi-font and multi-size text images. Some Arabic font families introduce complex variability such as overlaps and ligatures. In this case, developing a font recognition phase for text recognition has become a necessity. In this paper, we presented a new version of the steerable pyramids font recognition system. We also compared...
This paper presents a new public offline database for Arabic/Latin printed and Arabic/Latin handwriting text. The database was developed to be employed in performance evaluation, result comparison and development of new methods related to document analysis and recognition. It may be used for, script identification, font identification, writer identification and word segmentation. The printed text...
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 Steer able 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)...
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