A novel technique to recognize human faces across age progressions

Abstract

Individual’s appearance changes as age progresses, this shows immea-surable potential uses of programmed face recognition over ages. Since different individuals age in different way, a “sufficient and complete” dataset ought to contain the complete aging examples of the number of individuals as are important to speak to the entire populace. In any case, age progression cannot be artificially controlled. The collection of the aging images hence normally obliges extraordinary exertion in looking for photos taken years back, and future images cannot be procured. The two methodologies considered to recognize faces across age varia- tions are discriminative-based methodology and generative-based methodology. In this paper, we propose a novel technique to recognize faces across age progressions. We also analyze different best in class systems accessible in discriminative-based methodology and generative-based methodology; this analyzes are performed on different standard age varying face databases.