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Decision Level Fusion of Intramodal Personal Identity Verification Experts

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Book cover Multiple Classifier Systems (MCS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2364))

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Abstract

We investigate the Behavior Knowledge Space [4] and Decision Templates [7] methods of classifier fusion in the context of personal identity verification involving six intramodal experts exploiting frontal face biometrics.

The results of extensive experiments on the XM2VTS database show the Behavioural Knowledge Space fusion strategy achieves consistently better results than the Decision Templates method. Most importantly, it exhibits quasi monotonic behaviour as the number of experts combined increases.

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References

  1. The extended m2vts database. http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb/, 9 2000.

  2. J Grim, J Kittler, P Pudil, and P Somol. Information analysis of multiple classifier fusion. In J Kittler and F Roli, editors, Multiple Classifier Systems 2001, pages 168–177, 2001.

    Google Scholar 

  3. B. Moghaddam and A. Pentland, “Probabilistic visual learning for object representation,” In S.K. Nayer and T. Poggio, editors, Early Visual learning, pp. 99–130, 1997.

    Google Scholar 

  4. Y. Huang and C. Suen. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transaction on Pattern Analysis and Machine Intelligence, 17(1), 1 1995.

    Article  Google Scholar 

  5. J. Kittler and Eds. F. Roli. Multiple classifier systems. Springer, 2000, 2001.

    Google Scholar 

  6. J Kittler, Y P Li, and J Matas. On matching scores for lda-based face verification. In M Mirmehdi and B Thomas, editors, Proceedings of British Machine Vision Conference 2000, pages 42–51, 2000.

    Google Scholar 

  7. L. Kuncheva, J.C. Bezdek, and R.P.W. Duin. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition, 34:299–314, 2001.

    Article  MATH  Google Scholar 

  8. L.I. Kuncheva and C.J. Whitaker. Feature subsets for classifier combination: An enumerative experiment. In Proceedings of the International Workshop on Multiple Classifier Systems, volume LNCS2096, pages 228–237. Springer, 2001.

    Chapter  Google Scholar 

  9. K-D. Wernecke. A coupling procedure for the discrimination of mixed data. Biometrics, 48:497–506, 6 1992.

    Article  Google Scholar 

  10. L. Xu, A. Krzyzak, and C.Y. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transaction. SMC, 22(3):418–435, 1992.

    Google Scholar 

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Kittler, J., Ballette, M., Czyz, J., Roli, F., Vandendorpe, L. (2002). Decision Level Fusion of Intramodal Personal Identity Verification Experts. In: Roli, F., Kittler, J. (eds) Multiple Classifier Systems. MCS 2002. Lecture Notes in Computer Science, vol 2364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45428-4_31

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  • DOI: https://doi.org/10.1007/3-540-45428-4_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43818-2

  • Online ISBN: 978-3-540-45428-1

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