Optical Font Recognition of Chinese Characters Based on Texture Features
Font recognition is a fundamental issue in the identification, analysis and reconstruction of documents. In this paper, a new method of optical font recognition is proposed which could recognize the font of every Chinese character. It employs a statistical method based on global texture analysis to recognize a predominant font, and uses a traditional recognizer of a single font to identify the font of a single character by the guidance of an obtained predominant font. It consists of three steps. First, the guiding fonts are acquired based on Gabor features. Then a font recognizer is run to identify the font of the characters one by one. Finally, a post-processing is fulfilled according to the layout knowledge to correct the errors of font recognition. Experiments are carried out and the results show that this method is of immense practical and theoretical value.
KeywordsTexture Feature Chinese Character Gabor Filter Gabor Feature Text Block
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