AN INNOVATIVE APPROACH FOR PLASTIC SURGERY FACE RECOGNITION-A REVIEW

The face recognition has great significance in surveillance system as it doesn’t need the object’s cooperation. The actual advantages of face based identification over other biometrics are uniqueness and acceptance. Advancement and affordability is leading to popularity of plastic surgery procedures. Facial plastic surgery can be reconstructive to correct facial feature anomalies or cosmetic to improve the appearance. Both corrective as well as cosmetic surgeries alter the original facial information to a great extent thereby posing a great challenge for face recognition algorithms. It has been observed that many face recognition algorithms fail to recognize faces after plastic surgery, which thus poses a new challenge to automatic face recognition. There are several effective methods invented in recent past. So here we are suggesting an innovative approach to find out a mean method that will provide the most accurate result even after the subject has undergone a plastic surgery with higher accuracy and better response rate. This method consist of finding a mean image, which is obtained by applying several popular methods like PCA, LBP along with periocular biometrics to the test image. For comparing pre and post surgery face images Euclidean distance is used.