DocumentCode
1743002
Title
A neural network based classifier for handwritten Chinese character recognition
Author
Wu, Mingrui ; Zhang, Bo ; Zhang, Ling
Author_Institution
State Key Lab. of Intelligent Technol. & Syst., Beijing, China
Volume
2
fYear
2000
fDate
2000
Firstpage
561
Abstract
In this paper, a geometrical approach for building neural networks is proposed. With the proposed approach, it is very easy to construct an efficient neural classifier to solve the handwritten Chinese character recognition problem, as well as other pattern recognition problems of large scale. Experiments are conducted to evaluate the performance of the proposed approach and results obtained are promising
Keywords
computational geometry; handwritten character recognition; neural nets; pattern classification; character recognition; geometrical representation; handwritten Chinese character; neural classifier; neural networks; sphere neighbourhood coverage; Character recognition; Computer science; Handwriting recognition; Intelligent systems; Laboratories; Large-scale systems; Neural networks; Neurons; Pattern recognition; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906136
Filename
906136
Link To Document