Abstract
Although face verification systems have proven to be reliable in ideal environments, they can be very sensitive to real environmental conditions. The system robustness can be increased by the fusion of different face verification algorithms. To the best of our knowledge, no face verification system tried exploiting the fusion of LDA and PCA. In our opinion, the apparent strong correlation of LDA and PCA, especially when frontal views are used and PCA is applied before LDA, discouraged the fusion of such algorithms. In this paper, we show that PCA and LDA can be fused with some simple strategies, and such fusion allows outperforming the best individual verification algorithm based on PCA or LDA.
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References
M. Turk and A. Pentland: “Eigenfaces for face recognition”, J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71–86, 1991.
H. Yu and H. Yang: “A direct LDA algorithm for high-dimensional data-with application to face recogniion”, Pattern Recognition 34(10):2067–2070, 2001.
L. Chen, H. Liao, M. Ko, J. Lin, G. Yu: “A new LDA-based face recognition which can solve the small sample size problem”, Pattern Recognition 33:1713–1726, 2000.
J. Kittler, R. Ghaderi, T. Windeatt, J. Matas: “Face Identification and Verification via ECOC”, Proc. On 3rd Int. Conf. On Audio-and Video-based Biometrie Person Authentication, J. Bigun and F. Smeraldi Eds., LNCS2091, pp. 1–13, 2001.
J. Kittler, M. Ballette, F. Roli: “Decision Level Fusion in Multimodal Personal Identity Verification Systems”, submitted to Information Fusion journal.
A. Martinez and A. Kak: “PCA versus LDA”, IEEE Trans. On PAMI, 23(2):228–233, 2001.
P.N. Belhumeour, J.P. Hespanha, D.K. Kriegman, “Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection”, IEEE Trans. On PAMI, 19(7):711–720, 1997.
P. Verlinde, P. Druyts, G. Chollet, M. Acheroy: “A multi-level data fusion approach for gradually upgrading the performances of identity verification systems”, in B. Dasarathy Ed., Sensor Fusion: Architectures, Algorithms and Application III, vol. 3719, Orlando, FL, USA, SPIE Press, 1999.
S. Pigeon and L. Vanderdorpe: “Multiple experts for robust face authentication”, in SPIE ed., Optical Security and counterfeit deterrence II, vol. 3314, pp. 166–177, San Jose CA, 1998.
R. Duda, P. Hart, D. Stork: “Pattern Classification-Second Edition”, John Wiley & Sons, 2001.
A. Jain, R. Bolle, S. Pankanti Eds.: “Biometrics — Personal Identification in Networked Society”, Kluwer Academic Publishers, 1999.
J. Kittler, Y. P.Li, J. Matas: “On matching scores for LDA-based face verification”, Proc. Of British Machine Vision Conference 2000, M. Mirmehdi and B. Thomas Eds., pp. 42–51, 2000.
F. Roli, J. Kittler, G. Fumera, D. Muntoni: “An experimental comparison of classifier fusion methods for multimodal personal identity verification systems”, 3rd Int. Workshop on Multiple Classifier Systems (MCS 2002), June 2002, LNCS, Springer Verlag, in press
Kittler, J., Roli, F. (eds.): Proc. of the 1st and 2nd Int. Workshop on Multiple Classifier Systems. Springer-Verlag, LNCS, Vol. 1857 (2000), and Vol. 2096 (2001)
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Marcialis, G.L., Roli, F. (2002). Fusion of LDA and PCA for Face Verification. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_4
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DOI: https://doi.org/10.1007/3-540-47917-1_4
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