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IBPRIA
2009
Springer

Score Fusion by Maximizing the Area under the ROC Curve

9 years 7 months ago
Score Fusion by Maximizing the Area under the ROC Curve
Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the parameters of a score fusion model based on maximizing an index related to the Area Under the ROC Curve. This approach has the convenience that the fusion parameters are learned without having to specify the client and impostor priors or the costs for the different errors. Empirical results on several datasets show the effectiveness of the proposed approach.
Mauricio Villegas, Roberto Paredes
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where IBPRIA
Authors Mauricio Villegas, Roberto Paredes
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