Redundant sift features via level sets for fast copy move forgery detection

Copy move forgery is a one of the common type of image forgery method. There are different methods of image forgery by copy move. One such method is where a background portion of image is copied and pasted on the foreground object to hide the some information from the image. In this paper we proposed a method for detection of such image tampering with the use of SIFT features and Chan-Vese's approach.