Statistical Approach for Offline Handwritten Signature Verification
Debnath Bhattacharyya, Samir Kumar Bandyopadhyay, Poulami Das, Debashis Ganguly & Swarnendu Mukherjee
Journal of Computer Science, Volume 4, Issue 3, pp. 181–185 · 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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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
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