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ICIP
1997
IEEE

An off-line large vocabulary hand-written Chinese character recognizer

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An off-line large vocabulary hand-written Chinese character recognizer
A n off-line hand-written Chinese character recognizer based on Contextual Vector Quantization (CVQ) supporting a vocabulary of 4,616 Chinese characters, alphanumerics and punctuation symbols has been reported. Trained with a sample for each character from each of 100 writers and tested on texts of 160,000 characters written by another 200 writers, the average recognition rate is 77.2%. Two statistical language models have been investigated in this study. Their performances in terms of their capabilities in upgrading the recognition rate by 8.8% and i2.0% respectively when used as post-processors of the recognizer will be reported in this paper.
Pak-Kwong Wong, Chorkin Chan
Added 26 Oct 2009
Updated 26 Oct 2009
Type Conference
Year 1997
Where ICIP
Authors Pak-Kwong Wong, Chorkin Chan
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