Analysis of Keypoint-based Copy-Move Forgery Detection in Digital Images

Abstract

The images are used as the element that is primary of in multitudinous operations and the dupe- move phony is considerably used to induce the forged images by manipulating the content of digital images. With the advancement of various image editing software Photoshop that is including Draw, GIMP, etc make it's easier to manipulate the digital images. Thus, Copy- Move Forgery Detection is a task that is challenging. Some of the dupe- move phony discovery styles analogous as Symmetry predicated features that are original SIFT- Symmetry, Clustering with J- relation Algorithm, SIFT- KAZE crossbred Features, point Matching predicated on frippery- bin-First Algorithm, Binary Discriminant Featuresetc. are compared and analysed in this paper.