Distinguishing an Arabic handwritten text is a hard task because the Arabic word is
morphologically complex and the writing style from one model is highly variable, like the …

Arabic handwriting recognition is still a challenging task due especially to the unlimited
variation in human handwriting, the large variety of Arabic character shapes, the presence of …

Offline Arabic handwritten recognition lies in a major field of challenge due to the changing
styles of writing from one individual to another. It is difficult to recognize the Arabic …

In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition
model using the Local Binary Pattern (LBP) technique and two machine-learning …

This paper is aimed at improving the performance of the word recognition system (WRS) of
handwritten Arabic text by extracting features in the frequency domain using the Stationary …

A proposed feature extraction algorithm for handwriting Arabic words. The proposed method
uses a 4 levels discrete wavelet transform (DWT) on binary image. sliding window on …

Handwritten Arabic recognition systems face several challenges, including the unlimited
variation in human handwriting. In this paper, we present an adaptive method for automatic …

Afin d'extraire les primitives qui caractérisent les mots à classer, trois types de moments
géométriques qui sont: les moments de Hu, les moments de Tchebichef et les moments de …