Segmentation versus segmentation-free for recognizing Arabic text

May Allam

doi:10.1117/12.205825

30 March 1995 Segmentation versus segmentation-free for recognizing Arabic text

May Allam

Proceedings Volume 2422, Document Recognition II; (1995) https://doi.org/10.1117/12.205825
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Arabic character recognition faces many technical difficulties, but the most challenging problem is the cursive characteristic of Arabic text. The present work explores two different approaches to solve the cursive problem. The first approach depends upon preprocessing to segment connected characters. The other approach is a segmentation-free technique where whole portions of connected characters are recognized without prior segmentation. Both methods employ hidden Markov models for classification. The present paper investigates the robustness of the two techniques and suggests how to combine them so that the weakness of one is compensated for by the strength of the other.

Citation Download Citation

May Allam "Segmentation versus segmentation-free for recognizing Arabic text", Proc. SPIE 2422, Document Recognition II, (30 March 1995); https://doi.org/10.1117/12.205825

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