An investigation of ensemble systems applied to encrypted and cancellable biometric data

Authors:
Isaac de L. Oliveira Filho;Benjamn R. C. Bedregal;Anne M. P. Canuto
Affiliations:
Department of Informatics and Applied Mathematics, Federal University of RN, Natal, RN, Brazil;Department of Informatics and Applied Mathematics, Federal University of RN, Natal, RN, Brazil;Department of Informatics and Applied Mathematics, Federal University of RN, Natal, RN, Brazil
Venue:
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Year:
2012

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Abstract

In this paper, we propose the simultaneous use of cryptography and transformation functions in biometric-based identification systems aiming to increase the security level of biometric data as well as the performance of these systems. Additionally, we aim to keep a reasonable efficiency level of these data through the use of more elaborated classification structures, such as ensemble systems. With this proposal, we intend to have a robust and secure identification system using signature data.