• DocumentCode
    186127
  • Title

    Novel Categorisation Techniques for Liveness Detection

  • Author

    Matthew, Peter ; Anderson, Matthew

  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    153
  • Lastpage
    158
  • Abstract
    Liveness detection is a rapidly expanding research area, an area that has become more relevant, due to the increased complexity and sophistication of spoofing attacks. Despite much research within liveness detection, a lack exists regarding the categorisation of liveness detection techniques. Therefore the development of a taxonomy that identifies the characteristics of liveness detection, and creates a standardized universal measure will provide a useful and applicable approach to liveness detection. This research will focus on developing the measures needed for liveness detection characteristics. To do this, specific emphasis is given to biometric security classifications, as liveness detection is a sub-system of biometric security, and it can inherit a features that are relevant. The development of these novel liveness detection categorisation techniques is of vital importance to understand the effectiveness of liveness detection.
  • Keywords
    biometrics (access control); pattern classification; security of data; biometric security classification; categorisation techniques; liveness detection; spoofing attacks; Authentication; Fingerprint recognition; Hardware; Measurement; Robustness; Taxonomy; biometric; biometric authentication; biometric fusion; categorisation; liveness detection; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4799-5072-0
  • Type

    conf

  • DOI
    10.1109/NGMAST.2014.51
  • Filename
    6982908