Font Recognition of Chinese Character Based on Multi-Scale Wavelet
نویسندگان
چکیده
Optical character recognition system research has been acquired howling success, but the reconstruction of layout needs fonts of the characters. In this paper, a novel font recognition algorithm is proposed, which is based on multi-scale wavelet analysis. We adopt wavelet analysis and the grid method to deal with the character image, and extract wavelet energy density feature, and apply the BP Neural Network to classify the different fonts. The experiments show that the font recognition of Chinese character based on multi-scale wavelet analysis algorithm can effectively recognize the 4 kinds of the Chinese characters. Key-Words: font recognition; wavelet analysis; wavelet energy density; artificial neural network
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