DocumentCode
2621294
Title
A multi-stage fuzzy classifier for off-line handwritten Chinese character recognition
Author
Ye, Shaozhen ; Chen, Jiarui
Author_Institution
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fujian, China
Volume
2
fYear
2005
fDate
25-27 July 2005
Firstpage
689
Abstract
The decision boundaries in pattern recognition of large scale (PRLS) are usually complex and sometimes it is difficult to get ideal results with only a single classifier. In the paper, based on system integration idea, the method of fuzzy coarse classifying is given and a multi-stage fuzzy classifier is built. The recognition experiments on one level class of 3755 Chinese characters show that this method can largely improve the recognition accuracy. So it is an efficient method for solving PRLS.
Keywords
fuzzy set theory; handwritten character recognition; natural languages; pattern classification; Chinese character recognition; fuzzy coarse classifier; multistage fuzzy classifier; off-line handwritten character recognition; pattern recognition; system integration; Character recognition; Computer science; Educational institutions; Fuzzy systems; Handwriting recognition; Pattern recognition; Signal processing; Statistical analysis; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547379
Filename
1547379
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