The Segmentation of Off-line Arabic Characters, Categorization and Review


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Abstract


A successful Arabic character recognition system improves interactivity between the human and the computers in many applications such as: digital archiving of ancient Arabic manuscripts, check verification, and documents analyzing. In spite of this fact, Arabic character recognition has not received enough research. The goal of automating character recognition can not be achieved without solving the segmentation problem. The cursive nature, rotation, strokes variety, and character slanting of Arabic word make the process of character isolation a very difficult one. According to the morphological features, the Arabic characters are connected each another within one word by junction lines. The researchers realized this fact and started publishing methods to solve the problems of the segmentation. These methods are classified in many ways. This paper categorizes the segmentation methods into two approaches: Junction-Seeking Approach (JSA) and Recognize-Segment Approach (RSA) and provides a comprehensive review for segmentation methods in the last 20 years. The contribution also involves analyzing of the preprocessing stage and the techniques that are commonly used in the Arabic character recognition system.
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Keywords


Character Segmentation; Morphological Features; Junction-Seeking; Recognize-Segment; Arabic Character Recognition

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