A segmentation-free approach to strokes extraction from online isolated Arabic handwritten character

With the massive changes in input acquisition systems such as smart phones and tablets, the field of handwriting recognition has more attention accorded by a several researchers. This article addresses the problem of online Arabic character segmentation. Our approach is based on top-down segmentation-free of Arabic character by detecting the candidate points in the general chain code of the character to extraction strokes. The main goal of our work to ameliorate the recognition rate.