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Proceedings Paper

Novel design of neural networks for handwritten Chinese character recognition
Author(s): Devil H.F. Yip; William W.H. Yu
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Paper Abstract

Handwritten Chinese character recognition system invariably sue different image processing techniques to preprocess the input image before the main classification and recognition techniques are used. The authors proposed a different approach to the system philosophy of solving the handwritten Chinese character recognition problem for no preprocessing is necessary. The Chinese characters are treat as ideographs. The proposed system comprise of a Rough Classifier which control the different Fine Classifiers. Each classifier is an optimized artificial neural network using genetic algorithms. A reduced system has been implemented. The result shows that the proposed system has higher recognition rate than the similar systems reported and is more efficiency.

Paper Details

Date Published: 2 October 1998
PDF: 6 pages
Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); doi: 10.1117/12.323271
Show Author Affiliations
Devil H.F. Yip, Univ. of Hong Kong (Hong Kong)
William W.H. Yu, Univ. of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 3454:
Vision Geometry VII
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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