GEC-based multi-biometric fusion

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jun 2011Publisher:IEEEJournal:2011 IEEE Congress of Evolutionary Computation (CEC)

Authors: Aniesha Alford; Caresse Hansen; Gerry V. Dozier; Kelvin S. Bryant; John C. Kelly; Tamirat Abegaz; Karl Ricanek; +1 Authors

doi: 10.1109/cec.2011.5949870

GEC-based multi-biometric fusion

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Abstract

In this paper, we use Genetic and Evolutionary Computation (GEC) to optimize the weights assigned to the biometric modalities of a multi-biometric system for score-level fusion. Our results show that GEC-based multi-biometric fusion provides a significant improvement in the recognition accuracy over evenly fused biometric modalities, increasing the accuracy from 90.77% to 95.24%.

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