Title :
Arabic Font Recognition Based on a Texture Analysis
Author :
Jaiem, Faten Kallel ; Kanoun, Slim ; Eglin, Veronique
Author_Institution :
MIRACL Lab., Univ. of Sfax, Sfax, Tunisia
Abstract :
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) for classification. The Obtained experimental results on the APTID/MF database (Arabic Printed Text Image/ Multi-Font) are encouragents.
Keywords :
backpropagation; feature extraction; image classification; image texture; natural language processing; neural nets; APTID/MF database; Arabic Printed Text Image/MultiFont database; Arabic font recognition; Arabic homogeneous normalized text block; BpANN; KNN; SP; backpropagation artificial neural network; data classification; k-nearest neighbors; steerable pyramid; texture analysis; Feature extraction; Filter banks; Image recognition; Text recognition; Wavelet transforms; Arabic Font recognition; The Back-propagation Artificial Neural Network; steerable pyramids; texture Analysis technique;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
Print_ISBN :
978-1-4799-4335-7
DOI :
10.1109/ICFHR.2014.118
