Automatic Segmentation for Arabic Character Handwriting
نویسندگان
چکیده
The cursive and ligature nature of the Arabic language make the segmentation of words into individual characters a difficult task. Despite attempts to apply methods for cursive Latin and other languages to Arabic, it is generally insufficient to segment Arabic text. This paper proposes a new segmentation algorithm for handwritten Arabic text and the main idea consist of segmenting the word into sub-words and then computing the baseline of each sub-word. Using the descenders of sub-words of each sub-word and the baseline, candidate points are then calculated using a vertical projection. The algorithm has been tested using 800 handwritten Arabic words taken from IFN/ENIT database and a comparison made against against some existing methods with promising results obtained.
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