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Journal of Inforamtion Science and Engineering, Vol.15 No.3, pp.451-462 (May 1999)
Candidate Selection in On-Line Chinese Character Recognition System Using Voting Scheme

Chien-Cheng Tseng, Bor-Sheng Jeng and Kuo-Sen Shou
Applied Research Lab.
Telecommunication Laboratories
Chunghwa Telecom Co., Ltd.,
Yang-Mei, Taoyuan, Taiwan 326, R.O.C.

In this paper, a candidate selection method using a voting scheme is proposed for speeding up a on-line Chinese character recognition system. Three steps in this method are described as follows: First, several simple features are extracted from the input ink data, such as peripheral code. Then, the number of votes which denote the coarse matching scores between input features and 5401 reference features of Chinese characters are computed. Finally, the templates of Chinese characters whose votes are higher than a prescribed threshold are selected to perform detailed matching. Some experimental results show that the proposed selection method is a suitable tool for speeding up a character recognition system under the condition of maintaining the recognition rate.

Keywords: on-line Chinese character recognition, candidate selection, voting scheme, peripheral code, scalar feature

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Received January 15; accepted February 24, 1998.
Communicated by Zen Chen.