• DocumentCode
    2722134
  • 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
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    139
  • Lastpage
    144
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology - New Generations (ITNG), 2015 12th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-8827-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2015.27
  • Filename
    7113462