The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 32-597
Full Name: Guo Hai
Position: Associate Professor
Age: ON
Sex: Female
Address: College of Computer Science and Engineering,Dalian Nationalities University, 18 Liaohe West Road Dalian Development Zone,Dalian,China
Country: CHINA
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E-mail address: guohai@tom.com
Other E-mails: guohai@dlnu.edu.cn
Title of the Paper: A Chinese Minority Script Recognition Method Based on Wavelet Feature and Modified KNN
Authors as they appear in the Paper: Guo Hai, Zhao Jing-yingƒx
Email addresses of all the authors: guohai@tom.com,dalianzjy@gmail.com
Number of paper pages: 10
Abstract: In recent years, K-Nearest Neighbor (KNN) has demonstrated excellent performance in a variety of pattern recognition problems. In this paper, we proposed modified KNN for the Chinese minority scripts classification, using wavelet energy distribution and wavelet energy proportions features generated from the discrete wavelet multi-resolution decomposition. The experimental results show that the method achieves high accuracy in testing dataset that consists of Chinese, English and Chinese minority scripts such as Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi. The results also show that this method is feasible and reasonable, and the recognition rate is up to 96%.
Keywords: Chinese minority script; scripts recognition; wavelet analysis¡F Modified k-Nearest Neighbour (mk-NN)
EXTENSION of the file: .pdf
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How Did you learn about congress: guohai@tom.com
IP ADDRESS: 221.201.222.138
