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Signature Verification Method Based on the Combination of Shape and Dynamic Feature

  • Yingna Deng
  • Hong Zhu
  • Shu Li
  • Tao Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)

Abstract

A method based on multi-feature and multi-stage verification is proposed in this paper. The direction and texture features obtained by Gabor filter are used for the first-stage verification. Then the sham dynamic features representing the writing force are used for the second-stage verification. Considering the number of samples for training is limited, the support vector machine (SVM) is selected as the classifier. The experimental results show that this method can not only increase the accuracy, but also satisfy the requirement of speed in real-time system as well.

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References

  1. 1.
    Lin, H.-J., Yang, F.-W., Yen, S.-H.: Off-Line Verification for Chinese Signatures. International Jounal of Computer Processing of Oriental Language 14(1), 17–28 (2001)CrossRefGoogle Scholar
  2. 2.
    Fang, B., Wang, Y.Y., Leung, C.H., Tse, K.W.: Offline Signature Verification by the Analysis of Cursive Strokes. International Journal of Pattern Recognition and Artificial Intelligence 15(4), 659–673 (2001)CrossRefGoogle Scholar
  3. 3.
    Guang-song, W.: Off-line Chinese Signature Verification, Master’s thesis, Hua Qiao University (2004)Google Scholar
  4. 4.
    Yan, Y.: The Investigation of Off-Line Signature Verification Based on Sham Dynamic Feature Extraction, Master’s thesis, Shan Dong University (2001)Google Scholar
  5. 5.
    Ueda, K.: Investigation of Off-Line Japanese Signature Verification Using a Pattern Matching. In: ICDAR (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yingna Deng
    • 1
  • Hong Zhu
    • 1
  • Shu Li
    • 1
  • Tao Wang
    • 1
  1. 1.Department of Automation and Information EngineeringXi’an University of TechnologyXi’anChina

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