Design of a High Secure Authentication System Based on Fuzzy Fusion of Iris and Face and Incorporating 2D Baker and Henon Maps

Marwa M. Eid, Mohamed A. Mohamed


The emergent concerns of identity theft problems and terrorism make the design of applicable accurate verification systems more crucial. No single biometric identifier could perfectly own all desired security properties. Moreover, the transmitted or stored biometric templates raise the opportunity of compromising user's privacy and identity breaching. This paper offers new scheme based on score level fuzzy fusion at decision level fusion to effectively combine face and iris identifiers. The proposed system allows an efficient identification procedure and introduces a new template locking approach based on chaos cryptography to protect the biometric data. In this study, CASIA and Faces94 databases are used to examine and appraise the robustness of the proposed schemes. The proposed template protection scheme offers new different uncorrelated secure forms of the base original templates in imperative and much speedy ciphering methodology. Furthermore, it could be rescinded at different points of probable attacks from sensed level to the final code and the matcher. It presents remarkably good key sensitivity and more robustness against different malicious attacks compared to classical encryption techniques. Furthermore, being noninvasive to the recognition process, simulation results on authentication rates introduces FAR and FRR of 0.0345%, and 0.001% respectively which illustrated a significant enhancement of the proposed fuzzy fusion over each unimodal system and existing multimodal fusion methods.


Crypto-biometrics, Iris Recognition, Face Recognition, Chaotic Encryption, and Fuzzy Logic Fusion

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