EEG Analysis in Biometric Identification and Authentication (original) (raw)

This article demonstrates that EEG (Electroencephalogram) signals can be used as a biometric identifier to authenticate the person. The patterns of brainwave signals are unique for every individual and it is very difficult to use these patterns for person identification and authentication purpose. Although the brainwaves signals are much complicated to study, there are very little studies have been done on the brain wave signals based biometrics. The biometric based on these physiological traits are resistant to frauds in sensitive applications domains. In confidential areas like military organizations, government agencies secrete potential domains and likewise highly restricted areas, the biometric facility based on EEG signals can be very useful. This article represents the strategy behind implementation of EEG based biometric. Here we have achieved success in authenticating the person with the help of wavelet transform. We used 5 channels of EEG waveform as features to authentica...