Improved Gabor Filtering Application in the Identification of Handwriting

  •  Yongping Liu    
  •  Xiaobo Guo    


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.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2020): 0.439

Impact Factor 2020 (by WJCI): 0.247

Google Scholar Citations (March 2022): 6907

Google-based Impact Factor (2021): 0.68

h-index (December 2021): 37

i10-index (December 2021): 172

(Click Here to Learn More)