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
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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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