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Proceedings Paper

New efficient algorithm for recognizing handwritten Hindi digits
Author(s): Yasser El-Sonbaty; Mohammed A. Ismail; Kamal Karoui
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Paper Abstract

In this paper a new algorithm for recognizing handwritten Hindi digits is proposed. The proposed algorithm is based on using the topological characteristics combined with statistical properties of the given digits in order to extract a set of features that can be used in the process of digit classification. 10,000 handwritten digits are used in the experimental results. 1100 digits are used for training and another 5500 unseen digits are used for testing. The recognition rate has reached 97.56%, a substitution rate of 1.822%, and a rejection rate of 0.618%.

Paper Details

Date Published: 18 December 2001
PDF: 6 pages
Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); doi: 10.1117/12.450740
Show Author Affiliations
Yasser El-Sonbaty, United Arab Emirates Univ. (United Arab Emirates)
Mohammed A. Ismail, Univ. of Alexandria (Egypt)
Kamal Karoui, National Institute of Applied Science and Technology (United Arab Emirates)


Published in SPIE Proceedings Vol. 4670:
Document Recognition and Retrieval IX
Paul B. Kantor; Tapas Kanungo; Jiangying Zhou, Editor(s)

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