Abstract
In order to classify the type of the Chinese minority scripts,the method of identifying the kinds of Chinese minority scripts based on wavelet analysis and Modified Quadratic Discriminant Function (MQDF) was presented. Using wavelet energy and wavelet energy distribution proportion as features by wavelet multi-resolution transform,multivariate classifier in MQDF was constructed. A sample data set was built which contained six common Chinese minority scripts: Tibetan,Tai Lue,Naxi Pictographs,Uighur,Tai Le,Yi and Chinese and English in total,some samples were used for training,others were for testing,and the proportions of the training samples in dataset were variant. Obviously,the experimental result shows that,in multi-level decomposition,the method is better than the traditional Bayes and K-Nearest Neighbor (KNN) classification in recognition rate.
Published Version
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