The week's pick
Random Articles
Reseach Article
Signature Verification based on Reduced Size Fast Correlation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 18 |
| Year of Publication: 2014 |
| Authors: Shradha Chadokar, Jijo S Nair |
10.5120/18710-9891
|
Shradha Chadokar, Jijo S Nair . Signature Verification based on Reduced Size Fast Correlation. International Journal of Computer Applications. 106, 18 ( November 2014), 44-48. DOI=10.5120/18710-9891
Abstract
In this dissertation work, performed an far-reaching experimental study to minimize time of recognition and verification and increase the great accuracy of signature sample which extract some features from signature sample in their training phase. In previous research on signature verification was based on similarity training of machine used in neural network has shown better accuracy than other techniques but somewhere neural network is complex in operation for example different algorithms for supervised learning. So in this work feature extraction and then it's database has been prepared which takes less time than supervised training in NN is used and for verification, correlation is used to match features of signature with the database which is also easier in operation and faster in processing then BP algorithms in NN. In this system more than 400 signature samples as used for recognition, and it gives far-accuracy than NN system.
References
- A. C. Ramachandra, J. S. Rao, K. B. Raja, K. R. Venugopal, and L. M. Patnaik, "Robust Off-line Signature Verification Based On Global Features," IEEE International Advance Computing Conference, pp. 1173-1178, March 2009.
- Luiz S Oliveira, "Signature Verification using Writer-Independent Approach," in Proceedings of International Joint Conference on Neural Networks, pp. 2539-2544, August 2007.
- S. Ghandali and M. E. Moghaddam, "Off-line Persian Signature Identification and Verification Based on Image Registration and Fusion," Journal of Multimedia, vol. 4, no. 3, pp. 137-144, June 2009.
- D. Jena, B. Majhi, and S. K. Jena, "Improved Off-line Signature Verification Scheme using Feature Point Extraction Method," Journal of Computer Science, pp. 111-116, 2008.
- V. Nguyen, M. Blumenstein, and G. Leedham, "Global Features for the Off-line Signature Verification Problem," tenth International Conference on Document Analysis and Recognition, pp. 1300-1304, 2009.
- Ahmed, K. ; El-Henawy, I. M. ; Rashad, M. Z. ; Nomir, O. , "On-line signature verification based on PCA feature reduction and statistical analysis," Computer Engineering and Systems (ICCES), 2010 International Conference on , vol. , no. , pp. 3,8, Nov. 30 2010-Dec. 2 2010.
- Ning-Ning Liu; Yi-Ding Wang, "Fusion of global and local information for an on-line Signature Verification system," Machine Learning and Cybernetics, 2008 International Conference on , vol. 1, no. , pp. 57,61, 12-15 July 2008.
- Pal, S. ; Chanda, S. ; Pal, U. ; Franke, K. ; Blumenstein, M. , "Off-line signature verification using G-SURF," Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on , vol. , no. , pp. 586,591, 27-29 Nov. 2012.
- C. Oz, F. Ercal, and Z. Demir, "Signature Recognition and Verication with ANN", in Proc. Of Third International Conference on Electrical and Electronics Engineering, (ELECO'03), Bursa, Turkey, December 2003.
- J. Fierrez-Aguilar, N. Alonso-Hermira, G. Moreno-Marquez, and J. Ortega-Garcia, "An off-line signature verification system based on fusion of local and global information", In Workshop on Biometric Authentication, Springer LNCS-3087, pages 298–306, May 2004.
Index Terms
Keywords