Wavelet application on abstracting stroke of Chinese character recognition

Qing Zhang; Junxun Yin

doi:10.1117/12.271718

3 April 1997 Wavelet application on abstracting stroke of Chinese character recognition

Qing Zhang, Junxun Yin

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271718
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Qing Zhang and Junxun Yin "Wavelet application on abstracting stroke of Chinese character recognition", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271718

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