Image Forensic using Block-based Copy-move Forgery Detection

Abstract

Copy-move forgery is the image tampering procedure where a region or more regions of the image is copied and pasted into one or more areas of the same image. Detection of image copy-move forgery is essential because, images are used as the primary element of communication and security in many places. In place of law and order, used images must be original or authentic and it is necessary to ensure its authenticity. Therefore, the detection of copy-move forgery has become a prominent and active research area. This paper highlight the different block-based approaches used in copy-move forgery detection with their important results. This paper also critically discusses the advantages and limitations of each approach and enlists the different image datasets used for image forgery detection, different unsolved issues and challenges in the field of forgery detection.