Particle Swarm Optimization for the Fusion of Thermal and Visible Descriptors in Face Recognition Systems
In this paper, we propose a novel face recognition system based on fusing thermal and visible descriptors.The proposed approach is divided in two steps: training and validation.In the training stage, the system obtained the optimal weights from the particle swarm optimization (PSO) algorithm to maximize the recognition rates obtained from different