Abstract
Segmentation is the most challenging part of the Arabic handwriting recognition, due to the unique characteristics of Arabic writing that allows the same shape to denote different characters. In this paper, an off-line Arabic handwriting recognition system is proposed. The processing details are presented in three main stages. Firstly, the image is skeletonized to one pixel thin. Secondly, transfer each diagonally connected foreground pixel to the closest horizontal or vertical line. Finally, these orthogonal lines are coded as vectors of unique integer numbers; each vector represents one letter of the word. In order to evaluate the proposed techniques, the system has been tested on the IFN/ENIT database, and the experimental results show that our method is superior to those methods currently available.
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