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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

Statistical Approach for Offline Handwritten Signature Verification

Debnath Bhattacharyya, Samir Kumar Bandyopadhyay, Poulami Das, Debashis Ganguly and Swarnendu Mukherjee

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.

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

Open AccessCopyright: © 2008 Debnath Bhattacharyya, Samir Kumar Bandyopadhyay, Poulami Das, Debashis Ganguly and Swarnendu Mukherjee. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

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