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Security Evaluation of Online Signature Verification System using Webcams

by T. Venkatesh, Balaji.s, Chakravarthy A S N
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 15
Year of Publication: 2012
Authors: T. Venkatesh, Balaji.s, Chakravarthy A S N
10.5120/5617-7901

T. Venkatesh, Balaji.s, Chakravarthy A S N . Security Evaluation of Online Signature Verification System using Webcams. International Journal of Computer Applications. 41, 15 ( March 2012), 28-33. DOI=10.5120/5617-7901

@article{ 10.5120/5617-7901,
author = { T. Venkatesh, Balaji.s, Chakravarthy A S N },
title = { Security Evaluation of Online Signature Verification System using Webcams },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 15 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number15/5617-7901/ },
doi = { 10.5120/5617-7901 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:18.101777+05:30
%A T. Venkatesh
%A Balaji.s
%A Chakravarthy A S N
%T Security Evaluation of Online Signature Verification System using Webcams
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 15
%P 28-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper mainly focused on the evaluation of an authentication system based on personal signatures. Signature verification is an important research topic in the area of biometric authentication. In this paper the work is done in such a way that the signatures are captured using WEBCAM. A visual-based online signature verification system in which the signer's pen tip is tracked. The data acquisition of the system consists of only low-cost cameras (webcams) and does not need special equipment such as an electronic tablet. Online signature data is obtained from the images captured by the webcams by tracking the pen tip. The pen tip tracking is implemented by the Sequential Monte Carlo method in real time. Then the distance between the input signature data and reference signature data enrolled in advance is computed using Dynamic Time Warping (DTW). Finally, the input signature is classified as genuine or a forgery by comparing the distance with a threshold.

References
  1. Muhammad Nauman Sajid "Vital Sign: Personal Signature based Biometric Authentication System", Bs degree thesis, Pakistan Institute of Engineering and Applied sciences, Sep 2009.
  2. R. S. Kashi , J. Hu & W. L. Nelson, "On-line Handwritten Signature Verification using Hidden Markov Model Features", Fourth International Conference Document Analysis and Recognition (ICDAR'97), pp. 253 – 257, 1997.
  3. Charles E. Pippin, "Dynamic Signature Verification using Local and Global Features", Georgia Institute of Technology, July 2004.
  4. Hao Feng and Chan Choong Wah, "Online Signature Verification Using New Extreme Points Warping Technique", Pattern Recognition Letters, vol. 24, pp. 2943-2951, Dec. 2003.
  5. F. A. Afsar, M. Arif and U. Farrukh, "Wavelet Transform Based Global Features for Online Signature Recognition", Proceeding of IEEE International Multi-topic Conference INMIC, pp. 1-6 Dec. 2005.
  6. Liang Wan, Bin Wan, Zhou-Chen Lin "On-Line Signature Verification with Two-Stage Statistical Models", Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp. 282 – 286, 2005.
  7. Alisher Kholmatov, "Biometric Authentication Using Online Signatures", MS Thesis, Sabanci University, June 2002.
  8. Chan F. Lam, David Kamins and Kuno Zimerann, "Signature Recognition through Spectral Analysis", Pattern Recognition, vol. 22, pp. 39-44, Jan. 1989.
  9. Mario Enrique Munich "Visual Input for Pen-Based Computers" PhD thesis, California Institute of technology, Pasadena, California.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric Signature Identification Security Verification

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