Biometric Identification System using EEG Signals

Abstract: The activities of human brain- EEG signals are no doubt to furnish a most secure approach in biometric for user authentication/identification owing to the fact that they are highly sensitive, secretive and inimitable. As we can see, now-a-days the attacks against traditional biometric authentication systems are increased, hence there is the need of a robust biometric authentication which cannot be easily compromised. At present there are two biometric authentication systems: Fingerprint and Facial Recognition, which are most popular and widely used. There is one more case in which the user might be forced by an attacker or hacker to comply authentication. Hence here comes the authentication mechanism which we propose in which the attacker cannot hack, mimic, or forcefully gain access from the user. A Biometric Identification technique which is totally based on subject’s neurological responses and are measured by exercising electroencephalogram (EEG).

Keywords: EEG biometrics, User identification, High accuracy, Brainwave authentication, Biometric security, Electroencephalography, User authentication, Biometric recognition, Neurotechnology, Biometric identification.