A state of the art review on copy move forgery detection techniques

In today's age of Information and Cyber technology, videos and pictures are having a wider range of applications such as authentication, military, law enforcement, information sharing etc. The easily available state of the art editing tools and modern highlyclassy digital cameras make simpler the tampering of captured images by the fakers. Copy-move method in digital images occurs when a specific slice of the image is fixed to another area of the same image to hide or shield objectionable objects. Forgery detection methods aim to figure out the pasted partsor the fake regions. The persons who do tampering usually do many pre or post operations like rotation, filtering, compression, resizing etc. on the images before pasting them on to another or same image. Therefore, the tampering detection practices are to be very tough for any such operations. This research paper surveys the innovative experiments in the forgery recognition tactics built on the likeness and connection between the pasted part and the real image and their comparative study.