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