Computer recognition of Arabic cursive scripts
Pattern Recognition
Algorithms for Arabic name transliteration
IBM Journal of Research and Development
A New Fuzzy Character Segmentation Algorithm for Persian / Arabic Typed Texts
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Recognising handwritten Arabic manuscripts using a single hidden Markov model
Pattern Recognition Letters
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A personal computer-based Arabic character recognition system that performs three preprocessing stages sequentially, thinning, stroke segmentation, and sampling, is described. The eight-direction code used for stroke representation and classification, the character classification done at primary and secondary levels, and the contextual postprocessor used for error detection and correction are described. Experimental results obtained using samples of handwritten and typewritten Arabic words are presented.