الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Writer recognition is a challenging task in the pattern recognition science and plays an important role in many concerns of our modern life’s society. It is an exigant move as the individual’s handwriting has many characteristics that are distinct and unique from others handwriting which make it a good candidate to be used in neoteric applications of biometric identification. Handwriting maintains its essential attributes throughout the years and is very difficult to be forged or duplicated as well. The writer identification problem is addressed by utilizing new features that are developed mainly to capture some attributes of the Arabic handwritten text, some of the-state-of-the-art features, and classifiers. The main objective is to develop an efficient automatic systems to solve the writer identification problem by exploiting small fragments of the handwritten text and check the identifiability of Arabic handwritten text using the developed structural features in addition to some of the-state-of-the-art textural features.