Method for extracting characteristic of handwritten Chinese character image
A feature extraction, Chinese character technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem that the positioning cannot extract scale-invariant features, and achieve the effect of improving the recognition performance
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[0032] The flow chart of the dynamic gradient statistical feature extraction method of the present invention is as attached image 3 As shown, specifically, the input Chinese character image is divided into an elastic grid on the one hand to obtain 64 sub-regions, and then the center point of the sub-region is determined as a seed point, and a gradient statistical vector is assigned to each seed point. On the other hand, Obtain the gradient direction vector of each pixel in the image, obtain the gradient information of each pixel by decomposing the gradient vector, and then add the gradient information of each pixel to the seed points of the adjacent subregions according to the rules, and then add Each statistical vector is normalized, and finally the statistical vector is sequentially spliced into the final feature vector output.
[0033] The schematic diagram of the adjacent sub-region mentioned in step (3) of the feature extraction method of the present invention is as attach...
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