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
Link To Document :
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