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Face and palmprint pixel level fusion and kernel DCV-RBF classifier for small sample biometric recognition. (English) Zbl 1123.68361
Summary: Recently, multi-modal biometric fusion techniques have attracted increasing atove the recognition performance in some difficult biometric problems. The small sample biometric recognition problem is such a research difficulty in real-world applications. So far, most research work on fusion techniques has been done at the highest fusion level, i.e. the decision level. In this paper, we propose a novel fusion approach at the lowest level, i.e. the image pixel level. We first combine two kinds of biometrics: the face feature, which is a representative of contactless biometric, and the palmprint feature, which is a typical contacting biometric. We perform the Gabor transform on face and palmprint images and combine them at the pixel level. The correlation analysis shows that there is very small correlation between their normalized Gabor-transformed images. This paper also presents a novel classifier, KDCV-RBF, to classify the fused biometric images. It extracts the image discriminative features using a Kernel Discriminative Common Vectors (KDCV) approach and classifies the features by using the radial base function network. As the test data, we take two largest public face databases (AR and FERET) and a large palmprint database. The experimental results demonstrate that the proposed biometric fusion recognition approach is a rather effective solution for the small sample recognition problem.

68T10 Pattern recognition, speech recognition
Full Text: DOI
[1] D. Zhang, X. Jing, J. Yang, Biometric Images Discrimination (BID) Technologies, IGP/INFOSCI/IRM Press, 2006, ISBN 1-59140-831-8.
[2] D. Zhang, A.K. Jain, Proceedings of the First International Conference on Biometric Authentication (ICBA), Lecture Notes in Computer Science, vol. 3072, Springer, Berlin, 2004.
[3] D. Zhang, Biometrics Solutions for Authentication in an e-World, Kluwer Academic Publishers, Dordrecht, 2002, ISBN 1-4020-7142-6.
[4] Chen, L.; Liao, H.M.; Ko, M.; Lin, J.; Yu, G., A new LDA-based face recognition system which can solve the small sample size problem, Pattern recognition, 33, 10, 1713-1726, (2000)
[5] Jing, X.Y.; Zhang, D.; Yao, Y.F., Improvements on the linear discrimination technique with application to face recognition, Pattern recognition lett., 24, 15, 2695-2701, (2003)
[6] Jing, X.Y.; Zhang, D.; Tang, Y.Y., An improved LDA approach, IEEE trans. syst. man cybern. part B, 34, 5, 1942-1951, (2004)
[7] Hong, L.; Jain, A.K., Integrating faces and fingerprints for personal identification, IEEE trans. pattern anal. Mach. intell., 20, 12, 1295-1307, (1998)
[8] A.K. Jain, A. Ross, Learning user-specific parameters in a multibiometric system, Proceedings of ICIP 2002, New York, 2002, pp. 57-70.
[9] Ross, A.; Jain, A.K., Information fusion in biometrics, Pattern recognition lett., 24, 13, 2115-2125, (2003)
[10] Chatzis, V.; Bors, A.G.; Pitas, I., Multimodal decision-level fusion for person authentication, IEEE trans. syst. man cybern. part A, 29, 6, 674-680, (1999)
[11] Verlinde, P.; Chollet, G.; Acheroy, M., Multi-modal identity verification using expert fusion, Inf. fusion, 1, 1, 17-33, (2000)
[12] Prabhakar, S.; Jain, A.K., Decision-level fusion in fingerprint verification, Pattern recognition, 35, 4, 861-874, (2002) · Zbl 0999.68579
[13] Kittler, J.; Hatef, M.; Duin, R.P.W.; Matas, J., On combining classifiers, IEEE trans. pattern anal. Mach. intell., 20, 3, 226-239, (1998)
[14] Wang, L.; Tan, T.; Hu, W.; Ning, H., Automatic gait recognition based on statistical shape analysis, IEEE trans. image process., 12, 9, 1120-1131, (2003)
[15] Chang, K.; Bowyer, K.; Barnabas, V., Comparison and combination of ear and face images in appearance-based biometrics, IEEE trans. pattern anal. Mach. intell., 25, 9, 1160-1165, (2003)
[16] Daugman, J., How iris recognition works, IEEE trans. circuits syst. video technol., 14, 1, 21-30, (2004)
[17] Zhang, D.; Kong, W.K.; You, J.; Wong, M., On-line palmprint identification, IEEE trans. pattern anal. Mach. intell., 25, 9, 1041-1050, (2003)
[18] Ayinde, O.; Yang, Y.H., Face recognition approach based on rank correlation of Gabor-filtered images, Pattern recognition, 35, 6, 1275-1289, (2002) · Zbl 1005.68142
[19] Liu, C.; Wechsler, H., Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition, IEEE trans. image process., 11, 4, 467-476, (2002)
[20] Kong, W.K.; Zhang, D.; Li, W., Palmprint feature extraction using 2-D Gabor filters, Pattern recognition, 36, 10, 2339-2347, (2003)
[21] Chellappa, R.; Wilson, C.L.; Sirohey, S., Human and machine recognition of faces: a survey, Proc. IEEE, 83, 5, 705-740, (1995)
[22] Turk, M.; Pentland, A., Eigenfaces for recognition, Int. J. cognitive neurosci., 3, 1, 71-86, (1991)
[23] Belhumeur, P.N.; Hespanha, J.P.; Kriegman, D.J., Eigenfaces vs. fisherface: recognition using class specific linear projection, IEEE trans. pattern anal. Mach. intell., 19, 7, 711-720, (1997)
[24] Yu, H.; Yang, J., A direct LDA algorithm for high-dimensional data with application to face recognition, Pattern recognition, 34, 12, 2067-2070, (2001) · Zbl 0993.68091
[25] Jing, X.Y.; Zhang, D.; Jin, Z., UODV: improved algorithm and generalized theory, Pattern recognition, 36, 11, 2593-2602, (2003) · Zbl 1059.68105
[26] Scholkopf, B.; Smola, A.; Muller, K., Nonlinear component analysis as a kernel eigenvalue problem, Neural comput., 10, 5, 1299-1319, (1998)
[27] Baudat, G.; Anouar, F., Generalized discriminant analysis using a kernel approach, Neural comput., 12, 10, 2385-2404, (2000)
[28] Cevikalp, H.; Neamtu, M.; Wilkes, M.; Barkana, A., Discriminative common vectors for face recognition, IEEE trans. pattern anal. Mach. intell., 27, 1, 4-13, (2005)
[29] Pedrycz, W., Conditional fuzzy clustering in the design of radial basis function neural networks, IEEE trans. neural networks, 9, 4, 601-612, (1998)
[30] Esposito, A.; Marinaro, M.; Oricchio, D.; Scarpetta, S., Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm, Neural networks, 13, 6, 651-665, (2000)
[31] Mao, K.Z., RBF neural network center selection based on Fisher ratio class separability measure, IEEE trans. neural networks, 13, 5, 1211-1217, (2002)
[32] Er, M.J.; Wu, S.Q.; Lu, J.W.; Toh, H.L., Face recognition with radial basis function (RBF) neural networks, IEEE trans. neural networks, 13, 3, 697-710, (2002)
[33] Girosi, F.; Poggio, T., Networks and the best approximation property, Biol. cybern., 63, 3, 169-176, (1990) · Zbl 0714.94029
[34] S. Haykin, Neural Networks: A Comprehensive Foundation, second ed., Prentice-Hall, Englewood Cliffs, NJ, 1999, ISBN: 0-13-273350-1. · Zbl 0934.68076
[35] Gulmezoglu, M.B.; Dzhafarov, V.; Barkana, A., The common vector approach and its relation to principal component analysis, IEEE trans. speech audio process., 9, 6, 655-662, (2001)
[36] Liang, Z.Z.; Shi, P.F., Uncorrelated discriminant vectors using a kernel method, Pattern recognition, 38, 2, 307-310, (2005) · Zbl 1101.68818
[37] A.M. Martinez, R. Benavente, The AR face database, CVC Technical Report, no. 24, June 1998.
[38] Phillips, P.J.; Wechsler, H.; Huang, J.; Rauss, P., The FERET database and evaluation procedure for face-recognition algorithms, Image vision comput., 16, 5, 295-306, (1998)
[39] Yambor, W.; Draper, B.; Beveridge, R., Analyzing PCA-based face recognition algorithms: eigenvector selection and distance measures, ()
[40] J.R. Beveridge, K. She, B. Draper, G.H. Givens, Parametric and nonparametric methods for the statistical evaluation of human ID algorithms, Proceedings of the Third Workshop Empirical Evaluation of Computer Vision Systems, 2001.
[41] Jing, X.Y.; Zhang, D.; Jin, Z., Improvements on the uncorrelated optimal discriminant theory, Pattern recognition, 36, 8, 1921-1923, (2003) · Zbl 1054.68122
[42] Jing, X.Y.; Wong, H.; Zhang, D., Face recognition based on discriminant fractional Fourier feature extraction, Pattern recognition lett., 27, 13, 1465-1471, (2006)
[43] Jing, X.Y.; Zhang, D., A face and palmprint recognition approach based on discriminant DCT feature extraction, IEEE trans. systems man cybernet. B, 34, 6, 2405-2415, (2004)
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