On-line recognition of handwritten Arabic characters

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 1990Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 12, pages 704-710 (issn: 0162-8828,

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Authors: Samir Al-Emami; Mike Usher;

doi: 10.1109/34.56214

On-line recognition of handwritten Arabic characters

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Abstract

Arabic characters are always in cursive script. Handwritten words were entered into an IBM PC via a graphics tablet and a segmentation process applied to the points; the length and the slope of each segment was then found, and the slope categorized into one of four directions. In the learning process, specifications on the strokes of each character are fed to the computer. In the recognition process, the parameters of each stroke are found and special rules applied to select the collection of strokes which best matches the features of one of the stored characters. The results are promising, and suggestions for improvements leading to 100% recognition are proposed. >

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University of Reading
United Kingdom

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