Model-based signature verification with rotation invariant features

Pattern Recognition

Volumn 42, Issue 7, 2009, Pages 1458-1466

  Wen, Jing ^a   Fang, Bin ^a   Tang, Y Y ^a   Zhang, TaiPing ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

HMM; Ring peripheral feature; Rotation invariant; Sample set pickup; Signature verification; Threshold selection

Indexed keywords

ABERRATIONS; FAST FOURIER TRANSFORMS; HIDDEN MARKOV MODELS;

HMM; RING-PERIPHERAL FEATURE; ROTATION INVARIANT; SAMPLE SET PICKUP; SIGNATURE VERIFICATION; THRESHOLD SELECTION;

ROTATION;

EID: 62349087936     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.10.006     Document Type: Article

References (29)

1. Plamondon R., and Srihari S.N. On-line and off-line handwriting recognition: a comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell. 22 1 (2000) 63-84
2. D.Y. Yeung, et al., SVC2004: first international signature verification competition, in: International Conference on Biometric Authentication 2004, Fort Lauderdale, USA, July 15-17, 2004, pp. 16-22.
3. Nanni L. Experimental comparison of one-class classifiers for on-line signature verification. Neurocomputing 69 7-9 (2006) 869-873
4. Kholmatov A., and Yanikoglu B. Identity authentication using improved online signature verification method. Pattern Recognition Lett. 26 15 (2005) 2400-2408
5. Fierrez J., Ortega-Garcia J., Ramos D., and Gonzalez-Rodriguez J. HMM-based on-line signature verification: feature extraction and signature modeling. Pattern Recognition Lett. 28 16 (2007) 2325-2334
6. E.J.R. Justino, F. Bortolozzi, R. Sabourin, An off-line signature verification using HMM for random, simple and skilled forgeries, in: Proceedings of the Sixth International Conference on Document Analysis and Recognition, Seattle, WA, USA, September 2001, pp. 1031-1034.
7. Guo J.K., Doermann D.S., and Rosenfeld A. Forgery detection by local correspondence. Int. J. Pattern Recognition Artif. Intell. 15 4 (2001) 579-641
8. Qi Y., and Hunt B.R. Signature verification using global and grid features. Pattern Recognition 27 12 (1994) 1621-1629
9. J.K. Guo, D. Doermann, A. Rosenfeld, Off-line skilled forgery detection using stroke and sub-stroke properties, in: 15th International Conference on Pattern Recognition, vol. 2, Barcelona, Spain, 2000, pp. 355-358.
10. Huang K., and Yan H. Off-line signature verification using structural feature correspondence. Pattern Recognition 35 11 (2002) 2467-2477
11. Fang B., Tang Y.Y., Leung C.H., et al. Offline signature verification by the analysis of cursive strokes. Int. J. Pattern Recognition Artif. Intell. 15 4 (2001) 659-673
12. Fang B., et al. Off-line signature verification by the tracking of feature and stroke positions. Pattern Recognition 36 1 (2003) 91-101
13. Madasu H., Yusof M.H.M., and Madasu V.K. Off-line signature verification and forgery detection using fuzzy modeling. Pattern Recognition 38 3 (2005) 341-356
14. Coetzer J., Herbst B.M., and du Preez J.A. Offline signature verification using the discrete radon transform and a hidden Markov model. EURASIP J. Appl. Signal Process. 2004 1 (2004) 559-571
15. S.-Y. Ooi, A.B.J. Teoh, T.S. Ong, Offline signature verification through biometric strengthening, in: 2007 IEEE Workshop on Automatic Identification Advanced Technologies, June 2007, pp. 226-231.
16. Piyush Shanker A., and Rajagopalan A.N. Off-line signature verification using DTW. Pattern Recognition Lett. 28 (2007) 1407-1414
17. Tang Y.Y., Cheng H.D., and Suen C.Y. Transformation-ring-projection (TRP) algorithm and its VLSI implementation. Int. J. Pattern Recognition Artif. Intell. 5 1-2 (1991) 25-56
18. B. Fang, W.-S. Chen, X. You, et al., Wavelet thinning algorithm based similarity evaluation for offline signature verification, in: Intelligent Computing in Signal Processing and Pattern Recognition, Kunming, China, August 2006, pp. 547-555.
19. S. Chen, S. Srihari, Y.Y. Tang, et al., A new off-line signature verification method based on graph matching, in: 18th International Conference on Pattern Recognition, Hong Kong, August 2006, pp. 869-872.
20. Fang B., Leung C.H., Tang Y.Y., Kwok P.C.K., Tse K.W., and Wong Y.K. Off-line signature verification with generated training samples. IEE Proc. Vision Image Signal Process. 149 2 (2002) 85-90
21. A. El-Yacoubi, E.J.R. Justino, R. Sabourin, F. Bortolozzi, Off-line signature verification using HMMS and cross-validation, in: IEEE International Workshop on Neural Networks for Signal Processing, Sydney, Australia, December 2000, pp. 859-868.
22. Baltzakis H., and Papamarkos N. A new signature verification technique based on a two-stage neural network classifier I. Eng. Appl. Artif. Intell. 14 1 (2001) 95-103
23. F. Sun, S. Omachi, N. Kato, H. Aso, S. Kono, T. Takagi, Two-stage computational cost reduction algorithm based on Mahalanobis distance approximations, in: Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, December 2000, pp. 696-699.
24. Rabiner L.R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77 2 (1989) 257-286
25. Yang L., Widjaja B.K., and Prasad R. Application of hidden Markov model for signature verification. Pattern Recognition 28 2 (1995) 161-170
26. S. David, M.A. Ferrer, C.M. Travieso, J.B. Alonso, gpdsHMM: a hidden Markov model toolbox in the Matlab environment, Complex Systems Intelligence and Modern Technological, 2004 〈http://www.gpds.ulpgc.es〉.
27. Ortega-Garcia J., Fierrez-Aguilar J., Simon D., et al. MCYT baseline corpus: a bimodal biometric database. IEE Proc. Vision Image Sensor Process. 150 6 (2003) 395-401
28. J. Fierrez-Aguilar, N. Alonso-Hermira, G. Moreno-Marquez, J. Ortega-Garcia, An off-line signature verification system based on fusion of local and global information, in: Workshop on Biometric Authentication, Lecture Notes in Computer Science, vol. 3087, Springer, Berlin, May 2004, pp. 295-306.
29. Fierrez-Aguilar J., Ortega-Garcia J., and Gonzalez-Rodriguez J. Target dependent score normalization techniques and their application to signature verification. IEEE Trans. Syst. Man Cybern. Part C 35 3 (2005) 418-425