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

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Zuquete, A (Author) Other; Quintela, B (Author) Other; Cunha, JPS (Author) FEUP

Conference proceedings International

Title: Communications in Computer and Information Science

Pages: 290-306

3rd International Joint Conference on Biomedical Engineering Systems and Technologies

Valencia, SPAIN, JAN 20-23, 2010

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 7 Citations

Other information

Authenticus ID: P-002-Y3Q

DOI: 10.1007/978-3-642-18472-7_23

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17