Decision fusion from parts and samples for robust iris recognition
Tomeo-Reyes, Inmaculada & Chandran, Vinod (2013) Decision fusion from parts and samples for robust iris recognition. In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, IEEE, Washington D.C., The United States of America, pp. 1-6.
Fusion techniques can be used in biometrics to achieve higher accuracy. When biometric systems are in operation and the threat level changes, controlling the trade-off between detection error rates can reduce the impact of an attack. In a fused system, varying a single threshold does not allow this to be achieved, but systematic adjustment of a set of parameters does. In this paper, fused decisions from a multi-part, multi-sample sequential architecture are investigated for that purpose in an iris recognition system. A specific implementation of the multi-part architecture is proposed and the effect of the number of parts and samples in the resultant detection error rate is analysed. The effectiveness of the proposed architecture is then evaluated under two specific cases of obfuscation attack: miosis and mydriasis. Results show that robustness to such obfuscation attacks is achieved, since lower error rates than in the case of the non-fused base system are obtained.
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|Item Type:||Conference Paper|
|Keywords:||Biometric systems, Iris recognition, Fused decisions|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 IEEE|
|Deposited On:||13 Feb 2014 03:38|
|Last Modified:||01 Apr 2014 09:36|
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