National Institute of Technology Calicut
The efficiency of a multi-biometric system can be improved by weighting the scores obtained from the degraded modalities in an appropriate manner. In this paper, the authors propose an efficient PSO (Particle Swarm Optimization) based integration weight optimization scheme using d-prime statistics to determine the optimal weight factors for the complementary modalities, under different noise conditions. Instead of treating the weight estimation process from an algebraic point of view, an attempt is made to consider the same from the principles of linear programming techniques. The performance of the proposed method is analyzed in the context of fingerprint and voice biometrics using sum rule of fusion.