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Offline Signature Verification for Authentication
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 6 |
| Year of Publication: 2015 |
| Authors: Ranjan Jana, Saptashwa Mandal, Kunal Chhaya |
10.5120/ijca2015906067
|
Ranjan Jana, Saptashwa Mandal, Kunal Chhaya . Offline Signature Verification for Authentication. International Journal of Computer Applications. 126, 6 ( September 2015), 20-23. DOI=10.5120/ijca2015906067
Abstract
Biometrics verification has become a recent trend to prevent unauthorized accesses to all kinds of e-data. Signature is strongly accepted in legally and socially as identification and authentication of a person’s identity. But, it is very difficult to verify the signature physically. So, it is needed to design a system that verifies the signature of a human automatically. A set of actual signatures is collected from individuals whose signatures have to be authenticated by the system. The topological and texture features are extracted from the actual signature set. The system is trained by using these features. The mean feature values of all the actual signature features are calculated. This mean features acts as the model for verification against a test signature. Euclidian distance between template signature features and claimed signature features serves as a measure of similarity between the two. If this distance is greater than a predefined threshold, then the test signature is detected as fake. The system provides the result to classify actual and forgery signature with accuracy up to 100%.
References
- R. Plamondon, and G. Lorette, “Automatic signature verification and writer identification: The state of the art”, Pattern Recognition, vol. 22, no. 2, pp. 107–131, Jan. 1989.
- F. Leclerc and R. Plamondon, “Automatic signature verification: The state of the art 1989–1993”, International Journal in Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 8, no. 3, pp. 643–660, Jun. 1994.
- R. Plamondon, “The Handwritten Signature as a Biometric Identifier: psychophysical Model & System Design”, IEEE Conference Publications, Issue CP408, pp. 23-27, May 1995.
- D. S. Doermann and A. Rosenfeld, “Recovery of temporal information from static images of handwriting”, International Journal of Computer Vision (IJCV), vol. 15, pp. 143–164, 1995.
- M. C. Fairhurst, “Signature verification revisited: Promoting practical exploitation of biometric technology”, Electronics & Communication Engineering Journal, vol. 9, no. 6, pp. 273–280, Dec 1997.
- G. Rigoli, A. Kosmala, “A Systematic Comparison Between on-line and off-line Methods for Signature Verification with Hidden Markov Models”, 14th International Conference on Pattern Recognition - vol. II, pp.1755—1757, Australia, 1998.
- Edson J. R. Justino, Abdenaim El Yacoubi, Flavio Bortolozzi, Robert Sabourin, “An Off-Line Signature Verification System Using Hidden Markov Model and Cross-Validation”, 13th Brazilian Symposium on Computer Graphics and Image Processing, pp.105-112, ISBN:0-7695-0878-2, 2000.
- R. Plamondon and S. N. Srihari, “On-line and off-line handwriting recognition: A comprehensive survey”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 63–84, Jan. 2000.
- Jain, F. Griess, and S. Connel, “Online Signature Recognition”, Pattern Recognition, vol.35, pp 2963-2972, 2002.
- M. K. Kalera, S. Srihari, and A. Xu, “Off-line signature verification and identification using distance statistics”, International Journal of Pattern Recognition and Artificial Intelligence, 18(7), pp. 1339-1360, 2004.
- M. Hanmandlu, M. H. M. Yusof, and V.K. Madasu, “Off-line Signature Verification using Fuzzy Modeling”, Pattern Recognition, vol. 38, pp. 341-356, 2005.
- Ibrahim S. I. ABUHAIBA, “Offline Signature Verification Using Graph Matching”, Turkish Journal of Electrical Engineering & Computer Sciences, vol.15, no. 1, pp 89-104, 2007.
- Bansal B. Gupta, G. Khandelwal, and S. Chakraverty, “Offline Signature Verification Using Critical Region Matching”, International Journal of Signal Processing, Image Processing and Pattern, Vol. 2, No.1, March, 2009.
- Ismail A. Ismail, Mohamed A. Ramadan, Talaat S. El. Danaf, Ahmed H. Samak, “An Efficient Off-line Signature Identification Method Based On Fourier Descriptor and Chain Codes”, International Journal of Computer Science and Network Security (IJCSNS), Vol.10 No.5, May 2010.
- Ismail A. Ismail, Mohamed A. Ramadan, Talaat S. El. Danaf, Ahmed 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, pp. 14-19, 2010.
- V. Pandey, S. Shantaiya, “Signature Verification Using Morphological Features Based on Artificial Neural Network”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 7, July 2012.
- S. Sthapak, M. Khopade, C. Kashid, “Artificial Neural Network Based Signature Recognition & Verification”,“International Journal of Emerging Technology and Advanced Engineering(IJETAE), Volume 2, Issue 8, pp. 191-197, August 2013.
- R. Jana, R. Saha, D. Datta, “Offline Signature Verification using Euclidian Distance”, International Journal of Computer Science and Information Technologies (IJCSIT), Volume 5, Issue 1, pp. 707-710, 2014.
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