Dynamic handwritten signature verification based on statistical quantization mechanism

Song Ong Thian, How Khoh Wee, Beng Jin Teoh Andrew

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Online handwritten signature has been widely used for identity verification. However, it suffers from large intra-class variation problem as individual's signature may deviate from time to time due to variations in signing position, signature size, writing surface, and other factors. In addition, signatures are easier to forge than other biometrics and this leads to random and skilled forgeries issues. In this paper, we propose a novel Statistical Quantization Mechanism (SQM) to suppress the intra-class variation in signature features and thus discriminate the difference between genuine signature and its forgery. Experimental results show the proposed method is feasible in practice.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009
Pages312-316
Number of pages5
DOIs
Publication statusPublished - 2009 Jun 1

Publication series

NameProceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009
Volume2

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software

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    Thian, S. O., Wee, H. K., & Andrew, B. J. T. (2009). Dynamic handwritten signature verification based on statistical quantization mechanism. In Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009 (pp. 312-316). [4769612] (Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009; Vol. 2). https://doi.org/10.1109/ICCET.2009.128