Title :
Properties of a hand-printed Chinese character recognizer based on contextual vector quantization
Author :
Chee, Ping-Chong ; Leung, Sau-Lai ; Wong, Pak-Kwong ; Chan, Chorkin
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
Abstract :
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%
Keywords :
character recognition; image recognition; linguistics; vector quantisation; CVQ; contextual vector quantization; hand-printed Chinese character recognizer; language model; Character generation; Character recognition; Computer science; Hidden Markov models; Labeling; Natural languages; Pixel; Speech recognition; Vector quantization; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550779
