Unobtrusive Biometric System Based on Electroencephalogram Analysis. (22nd November 2007)

• Record Type: Journal Article
• Authors: Riera Riera, A. A.; Soria-Frisch Soria-Frisch, A. A.; Caparrini Caparrini, M. M.; Grau Grau, C. C.; Ruffini Ruffini, G. G.
• Other Names: Plataniotis Plataniotis Konstantinos N. Konstantinos N. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2008(2008)
• Publication Date: 2007-11-22
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2008/143728
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.