Performances of the likelihood-ratio classifier based on different data modelings

2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Volumn , Issue , 2008, Pages 1347-1351

  Chen, C ^a   Veldhuis, R N J ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Density estimation; Likelihood ratio classifier; Quantization

Indexed keywords

BIOMETRIC APPLICATIONS; DATA MODELING; DATA MODELS; DENSITY ESTIMATION; DENSITY-BASED; FACE DATUM; FEATURE DENSITIES; GAUSSIAN DENSITIES; LIKELIHOOD RATIOS; LIKELIHOOD-RATIO CLASSIFIER; QUANTIZATION;

BIOMETRICS; CLASSIFIERS; ESTIMATION; FISCHER-TROPSCH SYNTHESIS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; ROBOTICS;

COMPUTER VISION;

EID: 64549109673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2008.4795718     Document Type: Conference Paper

References (14)

1. A.M. Bazen and R.N.J. Veldhuis. Likelihood-ratio-based biometric verification. Circuits and Systems for Video Technology, IEEE Transactions on, 14(1):86-94, 2004.
2. I. T. Jolliffe. Principal Component Analysis. Springer, 2nd edition, 2002.
3. R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification. Wiley-Interscience, 2nd edition, 2000.
4. Te-Won Lee. Independent Component Analysis - Theory and Applications. Springer, 1st edition, 1998.
5. J.H. Friedman. Regularized discriminant analysis. Journal of the American Statistical Association., 84(405):165-175, 1989.
6. S. Mika, G. Ratsch, J. Weston, B. Scholkopf, and K.R. Muller. Fisher discriminant analysis with kernels. In Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop, 1999.
7. R.N.J. Veldhuis, A. Bazen, J. Kauffman, and P. Hartel. Biometric verification based on grip-pattern recognition. Security, Steganography, and Watermarking of Multimedia Contents VI. Edited by Delp, Edward J., III; Wong, Ping W. Proceedings of the SPIE, 5306:634-641, 2004.
8. D.W. Scott. On optimal and data-based histograms. Biometrika., 66(3):605-610, 1979.
9. A. Gersho and R.M. Gray. Vector Quantization and Signal Compression. Springer, 1st edition, 1991.
10. P. Tuyls, A.H.M. Akkermans, T.A.M. Kevenaar, G.J. Schrijen, A.M. Bazen, and R.N.J. Veldhuis. Practical biometric authentication with template protection. In Takeo Kanade, Anil K. Jain, and Nalini K. Ratha, editors, AVBPA, volume 3546 of Lecture Notes in Computer Science, pages 436-446. Springer-Verlag, 2005.
11. T.A.M. Kevenaar, G.J. Schrijen, M. van der Veen, A.H.M. Akkermans, and F. Zuo. Face recognition with renewable and privacy preserving binary templates. In IEEE Workshop on Automatic Identification Advanced Technologies (AutoID 2005), pages 21-26. IEEE Computer Society, 2005.
12. Y. Chang, W. Zhang, and T. Chen. Biometrics-based cryptographic key generation. In ICME, pages 2203-2206, 2004.
13. C. Chen, R.N.J. Veldhuis, T.A.M. Kevenaar, and A.H.M. Akkermans. Multi-bits biometric string generation based on the likelihood ratio. In IEEE Conference on Biometrics: Theory, Applications and Systems, 2007.
14. P. J. Phillips, P. J. Flynn, W. T. Scruggs, K. W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W.J. Worek. Overview of the face recognition grand challenge. In CVPR (1), pages 947-954, 2005.