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 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 the aging leads to change the important features of the face images. 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 the components based representation of facial images outperform the other existing methods.
Key words: Face Recognition, Aging, Age Invariant, Facial Image.
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