Multi-algorithm fusion with template protection


Kelkboom, E.J.C. and Zhou, X. and Breebaart, J. and Veldhuis, R.N.J. and Busch, C. (2009) Multi-algorithm fusion with template protection. In: IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, BTAS '09, 28-30 September 2009, Washington DC, USA (pp. pp. 1-8).

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Abstract:The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.
Item Type:Conference or Workshop Item
Copyright:© 2009 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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