Description: The problem of handwritten Chinese character deformation is the key problem of non- specific person s offline handwritten Chinese character recognition. In this paper, we discuss the way of correcting the handwriting deformation directly the Chinese character lattice image and reducing the difference between the different patterns belonging to the same category the pretreatment point of view, and propose a new nonlinear normalization method. This method also takes into account the pixel of Chinese characters and the white pixels of the back volume. All the pixels in the Chinese word lattice have the description of the stroke density, and the different pixels are given different stroke density. The stroke density is described as having two dimensions , Localized, making the description of the density of strokes more reasonable, standardized distribution of Chinese characters in the distribution of strokes more evenly evenly. The experimental results confirm the effectiveness of the p
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一种新的用于手写汉字识别的非线性规一化方法.pdf
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