• DocumentCode
    2620639
  • Title

    Eigengaze - covert behavioral biometric exploiting visual attention characteristics

  • Author

    Fookes, Clinton ; Sridharan, Sridha

  • Author_Institution
    Image & Video Res. Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    10-13 May 2010
  • Firstpage
    654
  • Lastpage
    657
  • Abstract
    It is possible for the visual attention characteristics of a person to be exploited as a biometric for authentication or identification of individual viewers. The visual attention characteristics of a person can be easily monitored by tracking the gaze of a viewer during the presentation of a known or unknown visual scene. The positions and sequences of gaze locations during viewing may be determined by overt (conscious) or covert (sub-conscious) viewing behaviour. This paper presents a method to authenticate individuals using their covert viewing behaviour, thus yielding a unique behavioural biometric. A method to quantify the spatial and temporal patterns established by the viewer for their covert behaviour is proposed utilsing a principal component analysis technique called `eigenGaze´. Experimental results suggest that it is possible to capture the unique visual attention characteristics of a person to provide a simple behavioural biometric.
  • Keywords
    authorisation; behavioural sciences; biometrics (access control); eigenvalues and eigenfunctions; feature extraction; covert behavioral biometric; eigenGaze; individual authentication; individual identification; visual attention characteristics; Biometrics; Pixel; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7165-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2010.5605585
  • Filename
    5605585