Novel Categorisation Techniques for Liveness Detection

Peter Matthew, Mark Anderson

Research output: Contribution to journalArticle (journal)peer-review

2 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)153-158
Number of pages6
JournalNext Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.
Early online date15 Dec 2014
Publication statusPublished - 2014
EventInternational Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) - Oxford, United Kingdom
Duration: 10 Sept 201412 Sept 2014


  • Authentication
  • Fingerprint recognition
  • Hardware
  • Measurement
  • Robustness
  • Taxonomy
  • biometric
  • biometric authentication
  • biometric fusion
  • biometric security classification
  • biometrics (access control)
  • categorisation
  • categorisation techniques
  • liveness detection
  • pattern classification
  • security
  • security of data
  • spoofing attacks


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