Eeg-based person authentication using face stimuli

In this paper, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system based on the studies in psychology and neurophysiology. Based on our experimental results and analysis, it is believed that the proposed person authentication system can be considered as a new biometric authentication system due to its universality, distinctiveness, permanence, collectability and uniqueness. 1

[1]  James W. Tanaka,et al.  Activation of Preexisting and Acquired Face Representations: The N250 Event-related Potential as an Index of Face Familiarity , 2006, Journal of Cognitive Neuroscience.

[2]  M. Gazzaniga,et al.  Understanding complexity in the human brain , 2011, Trends in Cognitive Sciences.

[3]  M. Thulasidas,et al.  Robust classification of EEG signal for brain-computer interface , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  C. Degueldre,et al.  Here I am: The cortical correlates of visual self-recognition , 2007, Brain Research.

[5]  John J. Foxe,et al.  My face or yours? Event-related potential correlates of self-face processing , 2010, Brain and Cognition.

[6]  Isao Nakanishi,et al.  Biometric person authentication using new spectral features of electroencephalogram (EEG) , 2009, 2008 International Symposium on Intelligent Signal Processing and Communications Systems.

[7]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[8]  Heung-Il Suk,et al.  Person authentication from neural activity of face-specific visual self-representation , 2013, Pattern Recognit..

[9]  José del R. Millán,et al.  Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Stefan Haufe,et al.  Single-trial analysis and classification of ERP components — A tutorial , 2011, NeuroImage.

[11]  Danilo P. Mandic,et al.  Biometrics from Brain Electrical Activity: A Machine Learning Approach , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Shigeru Sato,et al.  Face-specific and domain-general characteristics of cortical responses during self-recognition , 2008, NeuroImage.

[13]  Tetsuya Iidaka,et al.  EEG evidence of face-specific visual self-representation , 2010, NeuroImage.