Biometric Security using EEG Signal Processing – Acquisition, Representation and Classification Approaches

Authentication and security issues are rapidly increasing with the development of new coding techniques and network interfacing. Biometric security has shown a promising performance for security mechanism compared to key based security mechanisms. Biometric security system operates on physiological and neurological inputs and their behavioral characteristic. In Biometric security system, forging and synthetic false inputs limits its application and reduces the reliability. Inputs such as face, iris, voice etc., are highly vulnerable to such attack. Biological signaling observes a higher reliability in providing security. Electroencephalogram (EEG) has gained a large interest in recent past for biometric security provisioning. This paper outlines a brief review on the recent development in the area of provisioning security using EEG signal for biometric security. Various approaches of EEG interface for biometric security, classification and its applications were reviewed.