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Multi-algorithm fusion with template protection

: Kelkboom, Emile; Zhou, Xuebing; Breebaart, Jeroen; Veldhuis, Raymond; Busch, Christoph


IEEE Systems, Man and Cybernetics Society -SMC-:
IEEE Third International Conference on Biometrics: Theory, Applications and Systems, BTAS 2009 : Washington, DC, USA, 28 - 30 September 2009
Piscataway, NJ, USA: IEEE Press, 2009
ISBN: 978-1-4244-5020-6
ISBN: 978-1-4244-5019-0
International Conference on Biometrics - Theory, Applications and Systems (BTAS) <3, 2009, Washington/DC>
Conference Paper
Fraunhofer IGD ()
biometric template protection; biometric fusion; verification

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 cancellable 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.