Copy-Move Image Forgery Detection Tool

Digital images are extensively used as communication medium. Forgeries in digital image have grown to be a severe concern, owing to easy and liberated accessibility of puissant image processing tools. The literature addresses the stated issue extensively and presents solutions to them. The proposed elucidations have some commonalities in their methodologies. Nearly all of them are at variance either in feature extraction or in similarity measure used for forgery detection. A tool is missing in the literature that is capable to detect forgery on the choice of feature or similarity measure (the other steps of forgery detection remains same as these are extracted commonalities), and even perform the comparisons. In this paper, a GUI tool is proposed and designed to detect the Copy-Move forgery in digital images. This tool localizes image areas that are identical or extremely similar. Firstly, the tool decomposes the input image into number of overlapping chunks. It is followed by desired feature extraction. Further, duplicated regions are identified using the chosen similarity criterion. This approach allows the flexibility in selection of feature and similarity measure.