Abstract. This paper presents a novel age transformation algorithm to handle the challenge of facial aging in face recognition. The proposed algorithm registers the gallery and probe face images in polar coordinate domain and minimizes the variations in facial features caused due to aging. The efficacy of the proposed age transformation algorithm is validated using 2D log polar Gabor based face recognition algorithm on a face database that comprises of face images with large age progression. Experimental results show that the proposed algorithm significantly improves the verification and identification performance.
Singh et al. REF presented an age transformation algorithm for minimizing the variation in facial features caused by aging that registers the gallery and query face images in a polar coordinate system.
Age Transformation for Improving Face Recognition Performance
PReMI
Computer Science