The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and K - Nearest Neighbour (KNN) 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 Feature - Weighted K- Nearest Neighbour(FWKNN). Among Chinese, English and Chinese minority scripts such as Tibetan, Tai Lue, Naxi Pic-tographs, Uighur, Tai Le, Yi, the experimental results show the recognition rate is up to 96%.
Chinese minority scriptscript recognitionwavelet analysisK-Nearest Neighbour (KNN)
NETL
NSTL
维普
万方数据
