Digital image forgery detection based on shadow HSV inconsistency

During the last decade digital images have spread to all facets of human life. One of the main advantages of digital images is wide availability of powerful digital image processing tools. However, this power and availability also facilitates simplicity of forgery of digital images where it is very easy to insert part of one image into another image. Digital image forensics has to deal with such situations. In this paper we propose an algorithm for digital image forgery detection based on shadow inconsistencies of HSV components. The advantage of using these features is rotational invariance and simplicity. We tested our proposed algorithm on forged images used in literature and the algorithm was successful in forgery detection in all cases.