An Effective Method of Stout Face Recognition Using Genetic Algorithm For Haziness and Elucidation
I Mohideen, Vijaya Kumar · 2014
Face recognition is one of the most significant applications of image analysis. It’s a factual challenge to build a mechanical system which equals human aptitude to recognize faces. We propose a Genetic Algorithm because it solves every problems with multiple solutions. Genetic algorithm solves convex optimization problems. Using the low dimensional model for elucidation variations, we show that the set of all images obtained from a face image by hazing it and by changing the elucidation conditions forms a biconvex set. Based on optimization characteristic, we propose the genetic algorithm. Our experiments on a exigent real dataset obtained in unrestrained settings illustrate the importance of jointly modeling haziness and elucidation.