Study on Copy-Move Forgery Detection in Medical Images using Handcrafted Features

Abstract

Abstract: Medical image analysis and diagnosis are significantly hampered by digital picture alteration and fabrication. Copymove forgery, which involves copying a section of a picture and pasting it somewhere else in the same image to generate a fake copy, can result in incorrect diagnoses and even damage patients. Using handmade characteristics, we suggest a reliable technique in this study for identifying copy-move forgery in medical photos. Our method uses sophisticated feature extraction methods and image processing techniques to find duplicated portions within a picture. The integrity of medical image analysis is improved by experimental findings showing the efficacy of our suggested strategy in spotting copy-move forgery in medical pictures.