GEC-based multi-biometric fusion
Aniesha Alford, Caresse Hansen, Gerry Vernon Dozier, Kelvin S. Bryant, John Charles Kelly, Tamirat T. Abegaz, Karl Ricanek, Damon L. Woodard · 2011
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%.