Gaussian mixture models for on-line signature verification

Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003

Volumn , Issue , 2003, Pages 115-122

  Richiardi, Jonas ^a   Drygajlo, Andrzej ^a  

^a EPFL   (Switzerland)

Author keywords

Biometrics; Gaussian mixture models; Hidden Markov models; Model order; On line signature; Signature verification

Indexed keywords

BIOMETRICS; GAUSSIAN DISTRIBUTION; MARKOV PROCESSES; TRELLIS CODES;

GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODEL (GMMS); HIDDEN MARKOV MODELS (HMMS); MINIMUM DESCRIPTION LENGTH PRINCIPLE; MODEL ORDER; ON-LINE SIGNATURE VERIFICATION; ONLINE SIGNATURE; SIGNATURE VERIFICATION;

HIDDEN MARKOV MODELS;

EID: 84964500059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/982507.982528     Document Type: Conference Paper

References (22)

1. M. Arcienega and A. Drygajlo. On the number of Gaussian components in a mixture: an application to speaker verification tasks. In Proc. Eurospeech 2003, pages 2673-2676, Geneva, Switzerland, Sept. 2003.
2. J. Camino, C. Travieso, C. Morales, and M. Ferrer. Signature classification by Hidden Markov Model. In Proc. IEEE 33rd Annual 1999 International Carnahan Conference on Security Technology, pages 481-484, Oct. 1999.
3. J. Dolfing, E. Aarts, and J. van Oosterhout. On-line signature verification with Hidden Markov Models. In Proc. International Conference on Pattern Recognition 1998, Volume 2, pages 1309-1312, Aug. 1998.
4. J. Fierrez-Aguilar, J. Ortega-Garcia, and J. Gonzalez-Rodriguez. A novel function-based signature verification system. ATVS Technical Report ATVS-04/2003, Universidad Politecnica de Madrid, March 2003.
5. M. Fuentes, S. Garcia-Salicetti, and B. Dorizzi. On line signature verification: fusion of a Hidden Markov Model and a neural network via a Support Vector Machine. In Proc. International Workshop on Frontiers in Handwriting Recognition 2002, pages 253-258, 2002.
6. A. Jain, F. Griess, and S. Connell. On-line signature verification. Pattern Recognition, 35:2963-2972, 2002.
7. R. Kashi, J. Hu, W. Nelson, and W. Turin. A Hidden Markov Model approach to online handwritten signature recognition. International Journal on Document Analysis and Recognition, 1(2):102-109, 1998.
8. M. Mingming, W. Wijesoma, and E. Sung. An automatic on-line signature verification system based on three models. In Proc. Canadian conference on electrical and computer engineering 2000, Volume 2, pages 890-894, Mar. 2000.
9. D. Muramatsu and T. Matsumoto. An HMM on-line signature verification algorithm. In Proc. International Conferencence on Audio- and Video-Based Biometric Person Authentication 2003, pages 233-241, Jun. 2003.
10. J. Ortega, D. Simon, M. Faundez, V. Espinosa, A. Satue, I. Hernaez, J.-J. Igarza, C. Vivaracho, and Q.-I. Moro. MCYT: a multimodal biometric database. In Proc. COST 275 Workshop on the Advent of Biometrics on the Internet, pages 123-126, Rome, 2002.
11. J. Ortega-Garcia, J. Fierrez-Aguilar, J. Martin-Rello, and J. Gonzalez-Rodriguez. Complete signal modeling and score normalization for function-based dynamic signature verification. In Proc. International Conference on Audio- and Video-Based Biometric Person Authentication 2003, pages 658-667, Guildford, UK, 2003.
12. J. Pelecanos and S. Sridharan. Feature warping for robust speaker verification. In Proc. ISCA workshop on speaker recognition - 2001: a Speaker Odissey, pages 213-218, Jun. 2001.
13. D. Reynolds, T. Quatieri, and R. Dunn. Speaker verification using adapted Gaussian mixture models. Digital Signal Processing, 10(1-3):19-41, 2000.
14. J. Rissanen. Stochastic complexity in statistical inquiry, Volume 15 of World Scienti c series in computer science. World Scientific, Singapore, 1989.
15. S. Roberts, D. Husmeier, I. Rezek, and W. Penny. Bayesian approaches to Gaussian mixture modeling. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(11):1133-1142, Nov. 1998.
16. C. Sanderson and S. Bengio. Robust features for frontal face authentication in difficult image conditions. In Proc. International Conference on Audio- and Video-Based Biometric Person Authentication 2003, pages 495-504, Jun. 2003.
17. B. Stenger, V. Ramesh, N. Paragios, F. Coetzee, and J. Buhmann. Topology free Hidden Markov Models: Application to background modeling. In Proc. 8th International Conference on Computer Vision, pages 294-301, 2001.
18. A. Stolcke and S. Omohundro. Best-first model merging for Hidden Markov Model induction. Technical Report TR-94-003, International Computer Science Institute, Berkeley, April 1994.
19. Q.-Z. Wu, I.-C. Jou, and S.-Y. Lee. On-line signature verification using LPC cepstrum and neural networks. IEEE Trans. on systems, man and cybernetics, Part B, 27(1):148-153, Feb. 1997.
20. G. Xuan, W. Zhang, and P. Chai. EM algorithms of Gaussian Mixture Model and Hidden Markov Model. In Proc. International Conference on Image Processing 2001, pages 145-148, 2001.
21. L. Yang, B. Widjaja, and R. Prasad. Application of hidden Markov models for signature verification. Pattern Recognition, 28(2):161-170, 1995.
22. H. Yoon, J. Lee, and H. Yang. An on-line signature verification system using Hidden Markov Model in polar space. In Proc. Eigth International Workshop on Frontiers in Handwriting Recognition, pages 329-333, Aug. 2002.