Modified Particle Swarm Optimization with Adaptive Inertia, Constriction Coefficient, and Lévy-Flight Perturbation for Optimal Feature Selection in Face Recognition
Face recognition (FR) is one of the fundamental challenge faced in computer vision with it’s applications spanning from security, surveillance to human–computer interaction. The high dimensionality of facial feature spaces extracted via Principal Component Analysis (PCA) introduces the curse of dimensionality, motivati...