Unobtrusive Biometric System Based on Electroencephalogram Analysis

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Unobtrusive Biometric System Based on Electroencephalogram Analysis

A. Riera,1 A. Soria-Frisch,1,2 M. Caparrini,1 C. Grau,1,3 and G. Ruffini1

1 Starlab S. L., Camí a l'Observatori Fabra, Barcelona 08035, Spain
2 Department of Information and Communication Technologies, Universitat Pompeu Fabra, Plaça de la Mercè, 10-12, Barcelona 08003, Spain
3 Department de Psiquiatria i Psicobiologia Clínica, Universitat de Barcelona, Vall d'Hebron 171, Barcelona 08035, Spain

Received 30 April 2007; Revised 2 August 2007; Accepted 8 October 2007

Recommended by Konstantinos N. Plataniotis


Features extracted from electroencephalogram (EEG) recordings have proved to be unique enough between subjects for biometric applications. We show here that biometry based on these recordings offers a novel way to robustly authenticate or identify subjects. In this paper, we present a rapid and unobtrusive authentication method that only uses 2 frontal electrodes referenced to another one placed at the ear lobe. Moreover, the system makes use of a multistage fusion architecture, which demonstrates to improve the system performance. The performance analysis of the system presented in this paper stems from an experiment with 51 subjects and 36 intruders, where an equal error rate (EER) of 3.4% is obtained, that is, true acceptance rate (TAR) of 96.6% and a false acceptance rate (FAR) of 3.4%. The obtained performance measures improve the results of similar systems presented in earlier work.