Title :
A Generic Framework for EEG-Based Biometric Authentication
Author :
Sundararajan, Aditya ; Pons, Alexander ; Sarwat, Arif I.
Author_Institution :
Electr. & Comput. Eng., FIU, Miami, FL, USA
Abstract :
Biometric systems are a part and parcel of everyone´s lives these days. However, with the increase in their use, the security risks associated with them have equally increased. Hence, there is an increased need to develop systems which use biometrics efficiently and ensure the authentication is integral and effective. This paper aims to introduce the concept of using Electro Encephalogram (EEG), commonly known as brain waves, as a biometric. A wavelet based feature extraction method is proposed, that uses visual and auditory evoked potentials. The future scope, pros and cons of this biometric are analyzed next.
Keywords :
biometrics (access control); electroencephalography; feature extraction; medical image processing; wavelet transforms; EEG-based biometric authentication; auditory evoked potentials; biometric systems; biometrics; brain waves; electroencephalogram; generic framework; security risks; visual evoked potentials; wavelet based feature extraction method; Authentication; Electroencephalography; Feature extraction; Noise; Time-frequency analysis; Wavelet transforms; EEG; biometric; brain wave; evoked potentials; pros and cons; security; wavelets;
Conference_Titel :
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-8827-3
DOI :
10.1109/ITNG.2015.27