Combining different biometric traits with one-class classification

Signal Processing

Volumn 89, Issue 11, 2009, Pages 2117-2127

  Bergamini, C ^a   Oliveira, L S ^b   Koerich, A L ^a   Sabourin, R ^c  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

Biometric fusion; One class classification; SVM

Indexed keywords

BIOMETRIC FUSION; BIOMETRIC SYSTEMS; BIOMETRIC TRAITS; CONVENTIONAL CLASSIFIER; ONE-CLASS CLASSIFICATION; ONE-CLASS CLASSIFIER; PATTERN CLASSIFICATION; SVM;

CLASSIFIERS; SUPPORT VECTOR MACHINES;

BIOMETRICS;

EID: 67349162179     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.04.043     Document Type: Article

References (30)

1. Barnett V., and Lewis T. Outliers in Statistical Data. second ed. (1978), Wiley, New York
2. Cetingula H.E., Erzin E., Yemez Y., and Tekalp A.M. Multimodal speaker/speech recognition using lip motion, lip texture and audio. Signal Processing 86 12 (2006) 3549-3558
3. Cristianini N., and Shawe-Taylor J. An Introduction to Support Vector Machines and other Kernel-based Learning Methods (2000), Cambridge University Press, Cambridge
4. J. Fierrez-Aguilar, D. Garcia-Romero, J. Ortega-Garcia, J. Gonzalez-Rodrigues, Adapted user-dependent multimodal biometric authentication exploiting general information, Pattern Recognition Letters (2005) 2628-2639.
5. J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodrigues, Fusion strategies in multimodal biometric verification, in: International Conference on Multimedia and Expo, vol. 3, 2003, pp. 5-8.
6. B. Gutschoven, P. Verlinde, Multi-modal identity verification support vector machines, in: Proceedings of the Third International Conference on Information Fusion, 2000.
7. Hodge V., and Austin J. A survey of outlier detection methodologies. Artificial Intelligence Review 22 2 (2004) 85-126
8. Hong L., and Jain A. Integrating faces and fingerprints for personal identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 12 (1998) 1295-1307
9. A. Jain, A. Ross, Learning user-specific parameters in a multibiometric system, in: International Conference on Image Processing, 2002.
10. Jain A.K., Nandakumar K., and Ross A. Score normalization in multimodal biometric systems. Pattern Recognition 38 12 (2005) 2270-2285
11. C.-H. Jiang, G.-D. Su, Information fusion in face and fingerprint identity verification system, in: Third International Conference on Machine Learning and Cybernetics, 2004, pp. 3529-3535.
12. Jain A.K., Ross A., and Pankanti S. Biometrics: a tool for information security. IEEE Transactions on Information Security 1 2 (2006) 125-143
13. Luis-Garcia R., Alberola-López C., Ruiz-Alzola J., and Aghzout O. Biometric identification systems. Signal Processing 83 12 (2003) 2539-2557
14. M. Moya, M. Koch, L. Hostetler, One-class classifier networks for target recognition applications, in: World Congress on Neural Networks, 1993, pp. 797-801.
15. Nandakumar K., Chen Y., Dass S.D., and Jain A.K. Likelihood ratio-based biometric score fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 30 2 (2008) 342-347
16. National Institute of Standards and Technology, Nist biometric scores set-release 1, 2004 〈http://www.itl.nist.gov/iad/894.03/biometricscores〉.
17. Ortega-Garcia J., Fierrez-Aguilar J., Simon D., Gonzalez J., Faundez-Zanuy M., Espinosa V., Satue A., Hernaez I., Igarza J.-J., Vivaracho C., Escudero D., and Moro Q.-I. Mcyt baseline corpus: a bimodal biometric database. IEE Proceedings-Vision Image and Signal Processing 150 6 (2003) 395-401
18. Parra L., Deco G., and Miesbach S. Statistical independence and novelty detection with information preserving non-linear maps. Neural Computation 8 (1996) 260-269
19. Verlinde P., Chollet G., and Achcrov M. Multi-modal identity verification using expert fusion. Information Fusion 1 1 (2000) 17-33
20. Ross A., and Jain A.K. Information fusion in biometrics. Pattern Recognition Letters 24 (2003) 2115-2125
21. Scholkopf B., Platt J., Shawe-Taylor J., Smola A., and Williamson R. Estimating the support of a high dimensional distribution. Neural Computation 13 7 (2001) 1443-1472
22. Snelick R., Uludag U., Mink A., Indovina M., and Jain A. Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 3 (2005) 450-455
23. L. Tarassenko, P. Hayton, M. Brady, Novelty detection for the identification of masses in mammograms, in: Fourth International Conference on Artificial Neural Networks, 1995, pp. 442-447.
24. D.M.J. Tax, One-class classification, Ph.D. Thesis, TU Delft, 2001.
25. Tax D.M.J., and Duin R.P.W. Support vector domain description. Pattern Recognition Letters 20 (1999) 1191-1199
26. Tran Q.-A., Li X., and Duan H. Efficient performance estimate for one-class support vector machine. Pattern Recognition Letters 26 (2005) 1174-1182
27. Vapnik V.N. The Nature of Statistical Learning Theory (1995), Springer, Berlin
28. Wang D., Yeung D., and Tsang E. Structured one-class classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B-Cybernetics 36 6 (2006) 1283-1295
29. Y. Wang, T. Tan, A.K. Jain, Combining face and iris biometrics for identity verification, in: Fourth International Conference on AVBPA, 2003, pp. 805-813.
30. H. Yu, SVMC: single-class classification with support vector machines, in: Proceedings of the International Joint Conferences on Artificial Intelligence, 2003, pp. 567-576.