A SURVEY ON AGE INVARIANT FACE RECOGNITION METHODS

Abstract

Face recognition is used in many security and surveillance applications. Some issues, such as aging, partial occlusion, variation in pose and illumination and facial expression directly affect the performance of face recognition approaches. Usually, in many applications, such as checking the passport and visa, images in the database are not updated continuously. In these cases, aging leads to change the important features of the face image. Hence, face recognition across aging can be considered as a common issue in many security and surveillance systems. In this paper, some existing face recognition approaches, in terms of robustness to aging, have been reviewed briefly. Also, the experimental results from these methods have been compared using the common databases in age-invariant face recognition applications. The comparison results indicate that the approaches which consider both component-based representation of facial images and identity factors outperform the other existing methods.