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Proceedings Paper

Recognition of similar handwritten Chinese characters based on support vector machines and partial space method
Author(s): Jun Feng; Yang Yang; Xianmei Wang; Zhijun Chen
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Paper Abstract

This paper presents a recognition approach for handwritten similar Chinese characters based on wavelet transform and elastic meshing technique, partial space method and support vector machines (SVM) theory. The technique of combining wavelet transform with elastic meshing is employed for a given handwritten character to extract its feature. In addition, partial space method is adopted to select some components of the feature vector showing the main difference among similar Chinese characters. Finally, SVM classifier based on the Gaussian kernel function is exploited to obtain the recognition result. The experiment results confirm the effectiveness and practicality of the approach.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522326
Show Author Affiliations
Jun Feng, Shijiazhuang Railway Institute (China)
Yang Yang, Beijing Univ. of Science and Technology (China)
Xianmei Wang, Beijing Univ. of Science and Technology (China)
Zhijun Chen, Hebei Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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