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软件学报  2000 

Application of P-Fourier Transform to Handwritten Chinese Character Recognition
P形傅里叶变换在手写体汉字识别中的应用

Keywords: Handwritten character,Chinese character recognition,statistical feature,fine classification,Fourier transform
手写体
,汉字识别,统计特征,细分类,傅里叶变换.

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Abstract:

In this paper, the conception of Chinese character's corresponding curve feature is proposed, and three kinds of statistical features of Chinese characters, which can be represented by curve, are discussed. Applying P-Fourier operator to them, the final features for character recognition are extracted. Experimental results indicate that the proposed method is very promising for the recognition of handwritten Chinese characters, and is especially suitable for the fine classification.

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