Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris

Abstract

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. C. Rathgeb, M. Gomez-Barrero, C. Busch, J. Galbally, and J. Fierrez, "Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris", in International Workshop on Biometrics and Forensics (IWBF), 2015, p. 1-6In this work we propose a generic framework for generating an irreversible representation of multiple biometric templates based on adaptive Bloom filters. The presented technique enables a feature level fusion of different biometrics (face and iris) to a single protected template, improving privacy protection compared to the corresponding systems based on a single biometric trait. At the same time, a significant gain in biometric performance is achieved, confirming the sound- ness of the proposed technique.This work has been partially supported by projects Bio-Shield (TEC2012-34881) from Spanish MINECO, FIDELITY (FP7- SEC-284862) and BEAT (FP7-SEC-284989) from EU, the Center for Advanced Security Research Darmstadt (CASED) and C´atedra UAM-Telef´onica. Marta Gomez-Barrero is supported by a FPU Fellowship from Spanish MECD