CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Offline Signature Verification using Grid based and Centroid based Approach

by Sayantan Roy, Sushila Maheshkar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 8
Year of Publication: 2014
Authors: Sayantan Roy, Sushila Maheshkar
10.5120/15009-3292

Sayantan Roy, Sushila Maheshkar . Offline Signature Verification using Grid based and Centroid based Approach. International Journal of Computer Applications. 86, 8 ( January 2014), 35-39. DOI=10.5120/15009-3292

@article{ 10.5120/15009-3292,
author = { Sayantan Roy, Sushila Maheshkar },
title = { Offline Signature Verification using Grid based and Centroid based Approach },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 8 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number8/15009-3292/ },
doi = { 10.5120/15009-3292 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:43.797291+05:30
%A Sayantan Roy
%A Sushila Maheshkar
%T Offline Signature Verification using Grid based and Centroid based Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 8
%P 35-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's Signature verification is one of the most important features for checking the authenticity of a person. There are many security checking parameters like pin code, password, finger print checking but signature recognition is the most popular because it is quite accurate and cost efficient too. On the other hand one doesn't have to remember the authentication key like pin code or password. The signature of a genuine signer stays almost constant. But there may be little difference between well practiced forgeries and the genuine signer. It is required to distinguish these differences. This paper presents grid based, contour based and area based approach for signature verification. Intersecting points and centroids of two equal half of the signature is being calculated and then those centroids are connected with a straight line and the angles of these intersecting points with respect to the centroids connecting lines are calculated.

References
  1. T. S. enturk. E. O¨ zgunduz. and E. Karshgil,(2005)" Handwritten Signature Verification Using Image Invariants and Dynamic Features," Proceedings of the 13th European Signal Processing Conference EUSIPCO 2005,Antalya Turkey, 4th-8th September, 2005.
  2. Sabourin, R. ; Genest, G. ; Preteux, F. J. , (1997): "Off-line Signature verification local granulometric size distributions", IEEE Trans. Pattern Anal. Mach. Intell. 19 (9).
  3. Abbas, R. ; (2003): "Back propagation Neural Network Prototype for off line signature verification", thesis Submitted to RMIT.
  4. M. Hanmandlu, M. H. M. Yusof and V. K. Madasu,(2005) "Offline Signature Verification and forgery detection using fuzzy modeling," Pattern Recognition , vol. 38, pp. 341-356.
  5. Plamondon, R. and Srihari, S. N. , (Jan. 2000): "Online and Offline Handwriting Recognition: A Comprehensive Survey", IEEE Tran. on Pattern Analysis and Machine Intelligence, vol. 22 no. 1, pp. 63-84.
  6. Ramachandra A. C ,Jyoti shrinivas Rao(2009) "Robust Offline signature verification based on global features" IEEE International Advance Computing Conference.
  7. Anu Rathi, Divya Rathi, Parmanand Astya(2012) "Offline handwritten Signature Verification by using Pixel based Method", International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 1 Issue 7, September-2012.
  8. Raghuwanshi K. , Dubey N. , Nema R. and Sharma R. (2013) "Signature Verification through MATLAB Using Image Processing" International Journal on Emerging Trends in Electronics and Computer Science, VOL. 2, Issue 4,April 2013.
  9. Srihari, S. ; Kalera, K. M. and A. XU, (2004): "Offline Signature Verification and Identification Using Distance Statistics," International Journal of Pattern Recognition And Artificial Intelligence, vol. 18, no. 7, pp. 1339–1360.
  10. Ibrahim S. I. Abuhaiba(2007), "Offline Signature Verification Using Graph Matching, Turk J ElecEngin, VOL. 15, NO. 1.
  11. N. Christofides, (1977): Graph theory: an algorithmic approach (New York, Academic Press Inc. ).
  12. Prashanth C. R. and K. B. Raja(2012) "Off-line Signature Verification Based on Angular Features", International Journal of Modeling and Optimization, Vol. 2, No. 4, August 2012.
  13. S. Uchida and M. Liwicki(2010) "Analysis of Local Features for Handwritten Character Recognition. " In Proc. ICPR 2010, pp. 1945-1948.
  14. K. Frank,(2009) "Analysis of Authentic Signature and Forgeries" In Proc. IWCF,pp 150-164.
  15. Pradeep Kumar, Shekhar Singh, Ashwani Garg,(2013) "Hand Written Signature Recognition & Verification using Neural Network" , International Journal of Advanced Research in Computer Science and Software Engineering , Volume 3, Issue 3, March 2013.
  16. V. Nguyen, Y. Kawazoe, T. Wakabayashi, M. Blumenstein and U. Pal,(2010)"Performance Analysis of the Gradient Feature and the Modified Direction Feature for Offline Signature Verification" in proc. ICFHR,2010. pp. 303-307.
  17. Armand S. , Blumstein M. , and Muthukkumarasamy V. (2006)Off-line signature verification based on the Modified Direction Feature. 18th International Conference on Pattern Recognition, Vol. 4, pp. 509-512.
Index Terms

Computer Science
Information Sciences

Keywords

Signature Verification Binarization Normalization Thinning Centroid

Powered by PhDFocusTM