Improved Gabor Filtering Application in the Identification of Handwriting

Yongping Liu, Xiaobo Guo

Abstract


In this paper, handwriting image will be regarded as a texture image,The textural features of it were extracted by Improved multi-channel 2-D Gabor filtering,and was added in the features database as the basis for the identification of handwriting after processed.This is a content independent method,with a broad applicability.the speed and accuracy of identification were increased after optimizing the parameters of Gabor filtering, the author also made a lot of experiments by the platform of vc++6.0, it proved the effectiveness of the algorithm.


Full Text: PDF DOI: 10.5539/cis.v1n2p90

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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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