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IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
Force field feature extraction for ear biometrics
Computer Vision and Image Understanding
Improving individual identification in security check with an EEG based biometric solution
BI'10 Proceedings of the 2010 international conference on Brain informatics
Gait recognition based on improved dynamic Bayesian networks
Pattern Recognition
Iris recognition failure over time: The effects of texture
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Joint dynamic sparse representation for multi-view face recognition
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ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a new biometric system based on the neurophysiological features of face-specific visual self representation in a human brain, which can be measured by ElectroEncephaloGraphy (EEG). First, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system that can validate a person's identity by comparing the observed trait with those stored in the database (one-to-one matching). Unlike previous methods that considered the brain activities of the resting state, motor imagery, or visual evoked potentials, there are evidences that the proposed paradigm generates unique subject-specific brain-wave patterns in response to self- and non-self-face images from psychology and neurophysiology studies. Second, we devise a method for adaptive selection of EEG channels and time intervals for each subject in a discriminative manner. This makes the system immune to forgery since the selected EEG channels and time intervals for a client may not be consistent with those of imposters in terms of the latency and amplitude of the brain-waves. 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.