Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets

Plastic surgery is becoming prevalent due to advances in technology, and the speed with which these procedures are performed. Many efforts are being made by various researchers to address the challenges of human face detection and recognition. Variations in pose, expression, illumination, aging and disguise are the important challenges in this domain. Research focus is now shifted to plastic surgery of human faces. In this paper, review of Perceptual resemblance of local plastic surgery of facial images using Near Sets is proposed. We find different aspects related to plastic surgery and face recognition. When an individual undergoes plastic surgery, the facial features are reconstructed in both ways either globally or locally. Generally, this process changes the appearance of an individual. As these procedures become more and more prevalent, future face recognition systems will be challenged to recognize individuals after plastic surgery has been performed. However, to alleviate the problems of face recognition after local plastic surgery of faces, we are using near set theory to identify resemblance between pre-surgical and post-surgical faces.