Volume 5 Number 2 (Feb. 2010)
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JSW 2010 Vol.5(2): 251-258 ISSN: 1796-217X
doi: 10.4304/jsw.5.2.251-258

A Chinese Minority Script Recognition Method Based on Wavelet Feature and Modified KNN

Hai Guo, Jing-ying Zhao
Dalian Nationalities University, Dalian, China

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 multiresolution 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%.

Index Terms—Chinese minority script; scripts recognition; wavelet analysis

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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