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  • 标题:Improved Gabor Filtering Application in the Identification of Handwriting
  • 本地全文:下载
  • 作者:Yongping Liu ; Xiaobo Guo
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2008
  • 卷号:1
  • 期号:2
  • 页码:90
  • DOI:10.5539/cis.v1n2p90
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    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.

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