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This work is licensed under a Creative Commons Attribution 4.0 International License.
A Review on Offline Signature Recognition and Verification Techniques
SAMEERA KHAN, AVINASH DHOLE M-Tech Scholar, Department of Computer Science and Engineering, RITEE, Raipur, India Associate Professor, Department of Computer Science and Engineering, RITEE, Raipur, India
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Abstract: As signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioural property, so it is very much necessary to prove the authenticity of signature itself. A huge increase in forgery cases relative to signatures induced a need of efficient βSignature Verification Systemβ. These systems can be online or offline based on type of input taken by the system. This paper represents a brief review on various approaches used in signature verification systems.
Keywords: Signature, Biometric, Neural Networks, Off-line Signature Recognition and Verification.
Keywords: Signature, Biometric, Neural Networks, Off-line Signature Recognition and Verification.
How to Cite:
[1] SAMEERA KHAN, AVINASH DHOLE M-Tech Scholar, Department of Computer Science and Engineering, RITEE, Raipur, India Associate Professor, Department of Computer Science and Engineering, RITEE, Raipur, India, βA Review on Offline Signature Recognition and Verification Techniques,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.