CFP last date
20 January 2025
Reseach Article

A Study on Handwritten Signature

by L. B. Mahanta, Alpana Deka
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 2
Year of Publication: 2013
Authors: L. B. Mahanta, Alpana Deka
10.5120/13717-1489

L. B. Mahanta, Alpana Deka . A Study on Handwritten Signature. International Journal of Computer Applications. 79, 2 ( October 2013), 48-52. DOI=10.5120/13717-1489

@article{ 10.5120/13717-1489,
author = { L. B. Mahanta, Alpana Deka },
title = { A Study on Handwritten Signature },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 2 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 48-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number2/13717-1489/ },
doi = { 10.5120/13717-1489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:01.228625+05:30
%A L. B. Mahanta
%A Alpana Deka
%T A Study on Handwritten Signature
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 2
%P 48-52
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten signature verification is a behavioral biometric. Every day, we may face signature verification problem directly or indirectly whether it is in a banking transaction or signing a credit card transaction or authenticating a legal document. In order to solve this problem, during the last few decades, research has been going on with different approaches to introduce an efficient signature verification and identification system. This paper presents some basic concepts of signature and also explores on different approaches for verification.

References
  1. D. Zhang, "Automated Biometrics: Technologies and systems", Kluwer Academic Publishers, 2000.
  2. A. K. Jain, Patrick lynn, A. A. Ross, "Handbook of biometrics", publication: Springer, 2008.
  3. B. Majhi, Y. S. Reddy, D. P. Babu, "Novel Features for Off-line Signature Verification", International Journal of Computers, Communications & Control Vol. I(2006), No. 1, pp. 17- 24.
  4. T. Fotak, M. Ba?a, P. Koruga, "Handwritten Signature Identification using Basic Concepts of Graph Theory", Wseas Transactions on Signal Processing, Issue 4, Vol. 7, pp. 117-129, October 2011.
  5. A. K. Jain, F. D. Griess, S. D. Connell, "On-line signature verification", Pattern Recognition, The Journal of the Pattern Recognition Society, pp. 2963-2972, 2002.
  6. U. Dewan, J. Ashraf, "Offline signature verification using neural network", International Journal Of Computational Engineering & Management (IJCEM), Vol. 15, Issue 4, July 2012, pp: 50-54.
  7. S. Biswas, T. H. Kim, D. Bhattacharyya, "Features Extraction and Verification of Signature Image Using Clustering Technique", International Journal of Smart Home, Vol. 4, No. 3, July 2010.
  8. M. K. Kalera, S. Srihari, A. XU, "Offline Signature verification and identification using distance statistics", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18,No. 7, pp. 1339-1360, 2004.
  9. P. Metri, A. Kaur, "Handwritten Signature Verification using Instance Based Learning", International Journal of Computer Trends and Technology- March to April Issue 2011, pp: 1-3.
  10. H. Srinivasan, S. N. Srihari, M. J Beal,"Signature verification using Kolmogorov – Smirnov statistic",January 9, 2005.
  11. D. Jena, B. Majhi, S. K. Jena,"Improved Offline Signature Verification System Using Feature Point Extraction Method",Journal of Computer Science 4(2), 2008, pp: 111-116.
  12. R. Zakaria, A. F. Wahab, J. M. Ali, "Confidence Fuzzy Interval in Verification of offline Handwriting Signature", European Journal of Scientific Research, Vol. 47, No. 3 (2010), pp. 455-463, EuroJournals Publishing, Inc. 2010.
  13. S. Maheswaran, "Fuzzy Logic Based Off-line Signature Verification and Forgery Detection System".
  14. M. Nasiri, S. Bayati and F. Safi, "A fuzzy Approach for the Automatic Off-line Signature Verification Problem Based on Geometric Features", 2012.
  15. S. Patil, S. Dewangan, "Neural Network-based Offline Handwritten Signature Verification System using Hu's Moment Invariant Analysis", International Journal of Engineering and Advanced Technology (IJEAT), Vol. 1, Issue 1, October 2011, pp:73-79.
  16. I. A. B. Abdelghani, N. E. B. Amara, "A Neural Planar Modeling for Handwritten Signature based on Automatic Segmentation", International Journal of Computer applications, Vol. 49,No. 8, 2012.
  17. K. Sisodia , S. M. Anand, "Off-line Handwritten Signature Verification using Artificial Neural Network Classifier", International Journal of Recent Trends in Engineering, Vol. 2, No. 2, November 2009, pp: 205- 207.
  18. I. A. Ismail, M. A. Ramadan, T. S. El danaf, A. H. Samak, "Signature Recognition Using Multi Scale Fourier Descriptor And Wavelet Transform", International Journal of Computer Science and Information Security (IJCSIS), Vol. 7, No. 3, 2010,pp: 14-19.
  19. M. H. Sigari, M. R. Pourshahabi, H. R. Pourreza, "Offline Handwritten Signature Identification and Verification Using Multi-Resolution Gabor Wavelet", International Journal of Biometrics and Bioinformatics (IJBB),Vol. 5, Issue 4, 2011, pp: 234-248.
  20. A. McCabe, J. Trevathan, "Handwritten Signature Verification Using Complementary Statistical Models", Journal of Computers, Vol. 4, No. 7, July 2009, pp: 670- 680.
  21. M. Mehta, R. Sanchati, A. Marchya, "Automatic Cheque Processing System", International Journal of Computer and Electrical Engineering, Vol. 2, No. 4, August, 2010, pp: 761-765.
  22. V. kiani, R. Pourreza, H. R. Pourezza, "Offline Signature Verification Using Local Random Transform and Support Vector Machines", International Journal of Image Processing (IJIP), Vol. 3, Issue 5, pp. 184-194.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric Error Rate Forgeries offline signature verification