Research Article Open Access

Statistical Approach for Offline Handwritten Signature Verification

Debnath Bhattacharyya1, Samir Kumar Bandyopadhyay1, Poulami Das1, Debashis Ganguly1 and Swarnendu Mukherjee1
  • 1 ,
Journal of Computer Science
Volume 4 No. 3, 2008, 181-185

DOI: https://doi.org/10.3844/jcssp.2008.181.185

Submitted On: 12 June 2008 Published On: 31 March 2008

How to Cite: Bhattacharyya, D., Bandyopadhyay, S. K., Das, P., Ganguly, D. & Mukherjee, S. (2008). Statistical Approach for Offline Handwritten Signature Verification. Journal of Computer Science, 4(3), 181-185. https://doi.org/10.3844/jcssp.2008.181.185

Abstract

Signatures were considered an important tool for authenticating the identity of human beings. So, signature verification was one of the biggest uses for that. We proposed an algorithmic approach for the verification of handwritten signatures by applying some statistical methods. The research work was based on the collection of set of signatures from which an average signature was obtained based on our algorithm and then taking decision of acceptance after analyzing the correlation in between the sample signature and the average signature.

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Keywords

  • Signatures
  • authenticating
  • statistical methods
  • acceptance
  • analyzing
  • correlation
  • sample signature and average signature