CROSS-AGE FACE RECOGNITION USING REFERENCE CODING WITH KERNEL DIRECT DISCRIMINANT ANALYSIS

While face recognition methods have received wide application for decades, the aging process on human face could disable the original method. In this paper, we present a modification on a cross-age face recognition model which utilizes a reference set arranged in time order to eliminate the age difference of input images. In the proposed method, we utilize the identity information of the gallery set to perform discriminative analysis, which can further discriminate between persons in a subspace after the reference coding. Compared with classical cross-age reference coding method, our experiments on Cross-age Celebrity Dataset (CACD) acquire a 35% improvement in recognition rate.