Distance Based Online Signature Verification with Enhanced Security

  Harshdeep Kaur,  Er. Rajnish Kansal

Handwritten signature is the most widely accepted biometric to identity verification. There is considerable interest in authentication based on online signature verification system as it is the cheapest way to authenticate a person. The proposed online handwritten signature verification system consists mainly of three phases: Signal preprocessing, feature extraction, and feature matching. Feature extraction and feature selection had an enormous effect on accuracy of signature verification. Feature extraction was a difficult phase of signature verification systems due to different shapes of signatures and different situations of sampling. So we have to take care about the security of biometric template because we can’t modify our biometric feature due to its uniqueness. In this case, the performance can be measured in terms of TAR (True Acceptance Rate) and FAR (False Acceptance Rate) for each and every user separately according to the desirable false rejection rate (FRR). In the results, it is shown that the TAR vs FAR graph for the proposed method has improved upon the current method.

Keywords- Online signature, verification, TAR, FAR

Unique Identification Number - IJEDR1702268
Page Number(s) - 1703-1710
Pubished in - Volume 5 | Issue 2 | June 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Harshdeep Kaur,  Er. Rajnish Kansal,   "Distance Based Online Signature Verification with Enhanced Security", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1703-1710, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702268.pdf