A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes

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. This paper presents a method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes. The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes 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, radially classification in Multinomial Naive Bayes. Among Chinese, English and Chinese minority scripts such as Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi, the experimental results show the recognition rate is up to 90%.