Given the recent explosion of interest in human authentication, verification based on tokenised pseudo-random numbers and user-specific biometric feature (BioHashing) has received much attention. The purpose of our paper is to investigate the pros and the cons of BioHashing. In particular we study: how to combine BioHashing in a multi-modal fusion approach based on the integration of face and fingerprint data; how to combine BioHashing and user specific Iris features. The results of this paper confirm that a multi-modal biometric can overcome some of the limitations of a single biometric resulting in a substantial performance improvement. Moreover, we show that a multi-matcher system based on the fusion between "BioHashed" Iris features and a "standard" Iris matcher permits to obtain good performance when an "impostor" steals the pseudo-random numbers, and a near zero Equal Error Rate when nobody steals the pseudo-random numbers. © 2006 Elsevier B.V. All rights reserved.
CITATION STYLE
Nanni, L., & Lumini, A. (2006). Empirical tests on BioHashing. Neurocomputing, 69(16–18), 2390–2395. https://doi.org/10.1016/j.neucom.2006.05.001
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