Abstract
In this paper, a recognition system has been developed for the recognition of isolated typewritten Arabic characters. The outer contour of each character is traced using a contour-following algorithm that leads to 8-connected contours. A set of Fourier descriptors is obtained from the coordinate sequences of the contour points. This set of features has proven to be sufficient for the classification of isolated Arabic characters. Three different classification techniques have been developed using this set of features. The first technique is a minimum distance multicategory classifier which utilizes twelve dimensions. The second technique is a pairwise classifier that uses the best discriminating feature for each pair. The third technique is a hierarchical classifier which has the smallest character recognition time. The pairwise classifier, however, performs better than the other two classifiers as it shows the highest recognition rate.
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