Novel Categorisation Techniques for Liveness Detection

Matthew, Peter and Anderson, Mark (2014) Novel Categorisation Techniques for Liveness Detection. Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.. pp. 153-158. DOI https://doi.org/10.1109/NGMAST.2014.51

Item not available from this archive.

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.

Item Type: Article
Additional Information: 978-1-4799-5072-0
Uncontrolled Keywords: 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
Subjects: A General Works > AS Academies and learned societies (General)
Divisions: Computing and Information Systems
Date Deposited: 15 Jan 2016 14:49
URI: http://repository.edgehill.ac.uk/id/eprint/6836

Archive staff only

Item control page Item control page