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Proceedings Paper

Handwritten Persian digit recognition by a structural method
Author(s): Hamed Ketabdar
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Paper Abstract

In this paper a structural method for recognizing Persian handwritten digits is proposed. Because of different styles in some Persian digits, in this work they were divided into 18 classes. In recognition algorithm a heuristically designed binary decision tree recognizes the digits via a series of initiative structural features. The research aim was to choose those structural features that were useful both in terms of accuracy and speed. A set of 6180 digits was used for the test. About 93.1 percent of the digits were recognized correctly. The recognition average speed of this algorithm is 24 digits per second on a 486DX4 100 MHZ.

Paper Details

Date Published: 22 December 1999
PDF: 5 pages
Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373510
Show Author Affiliations
Hamed Ketabdar, Exceptional Talents High School (Iran)

Published in SPIE Proceedings Vol. 3967:
Document Recognition and Retrieval VII
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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