DocumentCode
2992378
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
Volume
6
fYear
1996
fDate
7-10 May 1996
Firstpage
3486
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1520-6149
Print_ISBN
0-7803-3192-3
Type
conf
DOI
10.1109/ICASSP.1996.550779
Filename
550779
Link To Document