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Biometric Authentication with Electroencephalograms: Evaluation of Its Suitability Using Visual Evoked Potentials

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Biomedical Engineering Systems and Technologies (BIOSTEC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 127))

Abstract

This paper studies the suitability of brain activity, namely electroencephalogram signals, as raw material for conducting biometric authentication of individuals. Brain responses were extracted in particular scenarios, namely with visual stimulation leading to biological brain responses known as visual evoked potentials. In our study, we evaluated a novel method, using only 8 occipital electrodes and the energy of differential EEG signals, to extract information about the subjects for further use as their biometric features. To classify the features obtained from each individual we used a one-class classifier per subject. These classifiers are trained only with target class features, which is the correct procedure to apply in biometric authentication scenarios. Two types of one-class classifiers were tested, K-Nearest Neighbor and Support Vector Data Description. Two other classifier architectures were also studied, both resulting from the combination of the two previously mentioned classifiers. After testing these classifiers with the features extracted from 70 subjects, the results showed that brain responses to visual stimuli are suitable for an accurate biometric authentication.

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Author information

Authors and Affiliations

  1. IEETA / University of Aveiro, Aveiro, Portugal

    André Zúquete & João Paulo Silva Cunha

  2. University of Aveiro, Aveiro, Portugal

    Bruno Quintela

Authors
  1. André Zúquete
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  2. Bruno Quintela
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  3. João Paulo Silva Cunha
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

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Zúquete, A., Quintela, B., Cunha, J.P.S. (2011). Biometric Authentication with Electroencephalograms: Evaluation of Its Suitability Using Visual Evoked Potentials. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2010. Communications in Computer and Information Science, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18472-7_23

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  • DOI: https://doi.org/10.1007/978-3-642-18472-7_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18471-0

  • Online ISBN: 978-3-642-18472-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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