Offline Signature Verification Approaches: A Review
Author(s): GAUR, Anu; BHARDWAJ, Minakshi
Author(s) keywords: biometric, neural networks, off-line signature verification, signature
Reference keywords: electronic signature
Abstract:
Signatures are the most common medium for establishing identity and validation of a person's credentials. However not everybody has the same signatures although similarity may exist. So it becomes very important to try and prove the authenticity of signatures based on their functional and behavioral property. However signatures are prone to being copied and recently the world has been witnessing a rise in spurious signatures hence an efficient signature verification system is the need of the hour. Although similar papers and lots of research has gone on in this field here we simply propose an off line verification system review based on analysis of signatures.
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Article Title: Offline Signature Verification Approaches: A Review
Author(s): GAUR, Anu; BHARDWAJ, Minakshi
Date of Publication: 2016-06-29
Publication: International Journal of Information Security and Cybercrime
ISSN: 2285-9225 e-ISSN: 2286-0096
Digital Object Identifier: 10.19107/IJISC.2016.01.08
Issue: Volume 5, Issue 1, Year 2016
Section: Cyber-Attacks Evolution and Cybercrime Trends
Page Range: 81-88 (8 pages)
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