Strategy for improving the reliability in the Facial identification

Proceedings - International Carnahan Conference on Security Technology

Volumn , Issue , 2005, Pages

  Travieso, Carlos M ^a   Alonso, Jesús B ^a   Ferrer, Miguel A ^a  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; ERROR DETECTION; LEARNING SYSTEMS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS);

BIOMETRIC SYSTEM; FACIAL IDENTIFICATION; SUPPORT VECTOR MACHINE (SVM);

FACE RECOGNITION;

EID: 42749108141     PISSN: 10716572     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ccst.2005.1594833     Document Type: Conference Paper

References (13)

1. C. Travieso, J. Alonso, M. Ferrer, "Facial Identification using transformed domain by SVM", in Proceeding of 38th International Carnahan Conference on Security Technology, Alburquerque, USA, pp. 321-324, October 2004.
2. M. Faúndez, "Face Recognition in a transformed domain, in Proceeding of 37th International Carnahan Conference on Security Technology, Taipei, Taiwan, pp. 290-297, October 2003.
3. Burges, C. J. C., "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, 2(2): 121-167, 1998.
4. N. Cristianini and J. Shawe-Taylor, "An introduction to support vector machines", Cambridge University Press, 2000.
5. A.K. Jain, R. Bolle, and S, Pankanti, "Biometrics; Personal Identification in Networked Society" Ed. Kluwer Academic Publishers, 2001.
6. http://www.biometricgroup.com/reports/public/market_report.html (Visited on 01-12-2004).
7. R. Fernández, E. Viennet, "Face Identification using Support Vector Machines" Proceedings of European Symposium on Artificial Neural Networks, pp 195-200, Apr. 1999.
8. G. Guo, S. Z. Li, , and C. Kapluk. Face recognition by support vector machines. Image and Vision Computing, 19(9-10):631-638, 2001.
9. G. Cui, G, Feng & S. Shan, "Face Recognition Based on Support Vector Method", Proceedings of 5th Asian Conference on Computer Vision, pp 23-28, Jan. 2002.
10. F. Samaria & A. Harter, "Parameterization of a stochastic model for human face identification" 2nd IEEE Workshop on Applications of Computer Vision, Sarasota (Florida), December 1994.
11. R. Gonzalez, R. Woods, "Digital Image Processing", Ed. Prentice Hall, 2002.
12. T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.
13. http://svmlight.joachims.org/ (Visited on 01-12-2004).