Analytical Analysis on Signature Recognition and Verification
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Handwritten signature verification system is one of the for most reliable, fast and cost-effective tool for user endorsement. This work examines the online written signature verification system methodologies. Signatures are acquired from devices such as pressure sensitive tablets, digitizer, etc. The aim of this paper is to review the signature feature extraction algorithms, techniques and methodologies. This gives a short description of the performance analysis parameters. The performance of algorithms is compared using varied factors which embody the False Acceptance Rate (FAR), False Reject Rate (FRR) and Equal Error Rate (EER) etc.
Authors and Affiliations
Jasmeet Kaur, Dr. Reecha Sharma
Keywords
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