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Proceedings Paper

Online handwritten Chinese character recognition system
Author(s): Fang Fan; Zhen Yong Lin
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Paper Abstract

In this paper, a novel on-line handwritten Chinese character recognition (OLHCCR) system is proposed. Several methods and efficient techniques, which have been successfully implemented in an off-line multi-font Chinese character recognition system, have been adopted in the proposed OLHCCR system. In this proposed OLHCCR system, an improved structural representation of handwritten Chinese character (HCC) has been introduced for pre-classification. In pre-classification stage, an index search scheme is used to quick screen out the candidates. An iterative scheme is used in detailed matching. The character to be recognized can be stroke-order and stroke- number free, tolerance for 2 to 3 unimportant missing or added strokes, size flexible, but within the constraint of normal handwriting. A prototype of OLHCCR system is implemented in Visual C++ 6.0 on Window98. The recognition results are based upon 3755 frequently used Chinese characters. Good experimental results show that the proposed approach is very promising.

Paper Details

Date Published: 22 December 1999
PDF: 9 pages
Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373505
Show Author Affiliations
Fang Fan, Nanyang Technological Univ. (Singapore)
Zhen Yong Lin, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 3967:
Document Recognition and Retrieval VII
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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