Paper
18 December 2001 New efficient algorithm for recognizing handwritten Hindi digits
Yasser El-Sonbaty, Mohammed A. Ismail, Kamal Karoui
Author Affiliations +
Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450740
Event: Electronic Imaging, 2002, San Jose, California, United States
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%.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasser El-Sonbaty, Mohammed A. Ismail, and Kamal Karoui "New efficient algorithm for recognizing handwritten Hindi digits", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450740
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Cited by 1 scholarly publication.
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KEYWORDS
Detection and tracking algorithms

Mercury

Feature extraction

Databases

Mathematics

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