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Recognition of Machine Printed Arabic Characters and Numerals Based on MCR
AbdelMalek B.C. ZIDOURI Supoj CHINVEERAPHAN Makoto SATO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1995/12/25
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Machine Vision Applications)
recognition of printed Arabic, cursive writing, free segmentation, feature extraction, strokes, Minimum Covering Run,
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In this paper we describa a system for Off-line Recognition of Arabic characters and Numerals. This is based on expressing the machine printed Arabic alpha-numerical text in terms of strokes obtained by MCR (Minimum Covering Run) expression. The strokes are rendered meaningful by a labeling process. They are used to detect the baseline and to provide necessary features for recognition. The features selected proved to be effective to the extent that with simple right to left analysis we could achieve interesting results. The recognition is achieved by matching to reference prototypes designed for the 28 Arabic characters and 10 numerals. The recognition rate is 97%.