IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal biometrics: issues in design and testing
Proceedings of the 5th international conference on Multimodal interfaces
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
Score normalization in multimodal biometric systems
Pattern Recognition
The CSU face identification evaluation system: its purpose, features, and structure
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
A classification approach to multi-biometric score fusion
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A generic protocol for multibiometric systems evaluation on virtual and real subjects
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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In this paper, we present a new combination technique to fusescores deriving from face and iris biometric matchers. Based on aprecise statistical analysis of bootstrapped match scores derivingfrom similarity matrices, we show the utility of wavelet denoisingon normalized scores. Then, we use an adaptive fusion rule based onthe maximization of a cost function combining user-specificweights, a separation distance and statistical moments. Experimentsare conducted on FERET and CASIA databases and results show thatour proposed method outperforms by 70% some of the best currentcombination approaches in terms of Equal Error Rates (EER), andreaches a Genuine Accept Rate (GAR) equals to 100% at a FalseAccept Rate (FAR) of 7×10-4%.