System and Methods for Online Signature Verification on Mobile devices

  Sonika Sharma,  Swati Bhasin

Handwritten signature is the most widely accepted biometric to identity verification. In the proposed system five parameters are taken in to account. Features of the signature can be extracted using proposed feature extraction method. Corresponding to every signature a unique feature will be extracted and this will be quantized using quantization step size vector. Both the feature vector and quantization vector are to be stored using template generator. To verify the test signature Manhattan distance (score) will be taken between the test signature and the reference signature. If score is less than the predefined threshold then the test signature is said to be genuine signature and if score is more than the predefined threshold then it is said to be forged signature

Keywords- False Rejection Rate, equal error rate, signature verification system

Unique Identification Number - IJEDR1602291
Page Number(s) - 1622-1625
Pubished in - Volume 4 | Issue 2 | June 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sonika Sharma,  Swati Bhasin,   "System and Methods for Online Signature Verification on Mobile devices", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1622-1625, June 2016, Available at :http://www.ijedr.org/papers/IJEDR1602291.pdf