DocumentCode :
2896644
Title :
A New Recognition Method for the Handwritten Manchu Character Unit
Author :
Zhang, Guang-yuan ; Li, Jing-jiao ; Wang, Ai-xia
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
3339
Lastpage :
3344
Abstract :
The Manchu character recognition method based on Manchu character unit is an efficient method. In this method, the recognition accuracy rate of Manchu character unit has great influence on the final recognition result. As new approach to solve this problem, a hybrid wavelet neural network scheme has developed as a recognition method replaces the original mini-distance method. Both the learning samples set and testing samples set are used, experimental results demonstrate the method based on the wavelet neural network is more efficient than the original mini-distance method
Keywords :
handwritten character recognition; learning (artificial intelligence); natural languages; neural nets; wavelet transforms; character recognition method; handwritten Manchu character unit; hybrid wavelet neural network scheme; mini-distance method; Arithmetic; Character recognition; Cybernetics; Design optimization; Handwriting recognition; Information science; Machine learning; Natural languages; Neural networks; Pattern recognition; Testing; Writing; Character recognition; Manchu; Pattern recognition; Wavelet neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258471
Filename :
4028644
Link To Document :
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