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Properties of a hand-printed Chinese character recognizer based on contextual vector quantization

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4 Author(s)
Ping-Chong Chee ; Dept. of Comput. Sci., Hong Kong Univ., Hong Kong ; Sau-Lai Leung ; Pak-Kwong Wong ; Chan, C.

A hand-printed Chinese character recognizer based on contextual vector quantization (CVQ) has been built previously. In this paper, several properties of the recognizer are discussed. The recognition of 4516 Chinese characters has a successful rate of 91.0%. The output of the recognizer is passed to a language model which when applied to recognize a passage of about 1200 characters raises the rate from 91.5% to 97.5%

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:6 )

Date of Conference:

7-10 May 1996