ORBcmfd: Oriented FAST and Rotated BRIEF Keypoints Based Image Copy-Move Forgery Detection

Image is a powerful tool for visual communication, and forgery in images has become common these days due to the availability of many software at a very low cost like Photoshop, Canva, Adobe, etc. These tools tampered with your image so that it could differentiate between the original one and the edited or tampered one. Copy-move forgery delineates a unique type of image manipulation, where a segment of the image is duplicated and then inserted into a separate section of the image. This is often done to hide significant features within the image. Therefore, the primary objective in identifying copy-move forgeries is to detect regions within the image that are identical or exceedingly similar. This paper employs DBSCAN and ORB techniques to detect copy-move forgery present in Images.