AGE INVARIANT FACE RECOGNTION

Abstract

Age Invariant Face Recognition as an emerging research topic in Face Recognition Research Community has many practical applications such as in law enforcement, finding missing children or identifying criminals, passport renewal etc. Facial Aging has not received adequate attention compared to other sources of variations due to pose, lighting, and expression. Most of the studies related to aging focused on age estimation and aging simulation. In the past decade Generative approaches and the discriminative approaches are developed in order to obtain Age Invariant Face Recognition. With the popularity of discriminative method in this thesis I represent age variant face images as SIFT and LBP features, and then combined with multiclass support vector machine for verification