3 April 1997 Wavelet application on abstracting stroke of Chinese character recognition
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qing Zhang, Junxun Yin, "Wavelet application on abstracting stroke of Chinese character recognition", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271718; https://doi.org/10.1117/12.271718
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

Morphological component analysis
Proceedings of SPIE (September 17 2005)
Multiridgelets for texture analysis
Proceedings of SPIE (January 27 2009)
Character extraction from documents using wavelet maxima
Proceedings of SPIE (October 23 1996)
Retrieval of historical documents by word spotting
Proceedings of SPIE (January 19 2009)

Back to Top