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13

IBPRIA
2009
Springer

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Score Fusion by Maximizing the Area under the ROC Curve

13 years 9 months ago

Score Fusion by Maximizing the Area under the ROC Curve

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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

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Active Research Topic | Fusion Parameters | IBPRIA 2009 | Pattern Recognition | Score Fusion Model |

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Added	25 Jul 2010
Updated	25 Jul 2010
Type	Conference
Year	2009
Where	IBPRIA
Authors	Mauricio Villegas, Roberto Paredes

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