Combining Evidence in Multimodal Personal Identity Recognition Systems
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
First International Fingerprint Liveness Detection Competition--LivDet 2009
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
On the dynamic selection of biometric fusion algorithms
IEEE Transactions on Information Forensics and Security
Handbook of Multibiometrics
A principled approach to score level fusion in multimodal biometric systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Combining perspiration- and morphology-based static features for fingerprint liveness detection
Pattern Recognition Letters
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The use of multimodal biometric systems has been encouraged by the threat of spoofing, where an impostor fakes a biometric trait. The reason lies on the assumption that, an impostor must fake all the fused modalities to be accepted. Recent studies showed that there is a vulnerability of the existing fusion schemes in presence of attacks where only a subset of the fused modalities is spoofed. In this paper, we demonstrated that, by incorporating a liveness detection algorithm in the fusion scheme, the multimodal system results robust in presence of spoof attacks involving only a subset of the fused modalities. The experiments were carried out by analyzing different fusion rules on the Biosecure multimodal database.