An Image Forensic Technique for Detection of Copy-Move Forgery in Digital Image

Abstract

Image morphing is a common practice nowadays. To validate a digital image is considered as a perplexing task in the field of image forensic. With numerous kind of tampering been carried out on a digital image, the paper focuses on a detection of common forgery referred to as copy-move forgery or cloning, which is nearly untraceable. The paper contemplates on the color content of the forged image and employs three different methods of feature extraction to aid the detection of forgery. The experimental results show that the feature extraction methods employed detects the forged region accurately and are also effective to rotation and scaling. A performance analysis in detection of forgery for the three methods in terms precision and recall is also presented in the paper, along with a comparison with other state-of-the-art detection methods.