Chinese Minority Script Recognition Using Radial Basis Function Network

The existing Chinese Minorities OCR system is mainly oriented in the "literacy" level, the script recognition has not attracted the attention it deserves, and the area of recognizing the kinds of Chinese minority scripts is still in a blank. The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Radial Basis Function Network (RBFN) is presented which adopts wavelet decomposition that obtains feature descriptor of wavelet energy and wavelet energy distribution proportion. Combined with the texture feature of Chinese minority scripts, and construct multivariate classification in Radial Basis Function Network (RBFN). By building a data set which contains Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi 6 kinds common Chinese Minority Script, Chinese and English 8 kinds in total, we take a test to the Data Set of Chinese Minority by means of method in this paper, and the result shows that the method in the paper outperforms the traditional Bayes and KNN classification.