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Proceedings Paper

Wavelet application on abstracting stroke of Chinese character recognition
Author(s): Qing Zhang; Junxun Yin
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Paper Abstract

The structural features of Chinese character are suitable for the recognition process of handprinted Chinese character because of the advantage of high tolerances to distortions and style variations. The extraction of the stroke feature is very difficult. Wavelet transformation which is a powerful tool in image analysis is used to analyze the Chinese character image in this paper, and then the process of the extraction stroke is concise and distinct.

Paper Details

Date Published: 3 April 1997
PDF: 7 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271718
Show Author Affiliations
Qing Zhang, South China Univ. of Technology (China)
Junxun Yin, South China Univ. of Technology (China)

Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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