Detection of Region Duplication Forgery in Digital Images Using SURF

An Image would yield better impact in convincing someone of something rather than pure description by words. Digital images are widely used in various fields like medical imaging, journalism, scientific manipulations and digital forensics. However, images are not reliable as it may be. Digital images can be easily tampered with image editing tools. One of the major problems in image forensics is determining if a particular image is authentic or not. Digital image forensic is an emerging field of image processing area. Copy-move forgery is one type of image forgery in digital image forensic where various methods have been proposed in the field to detect the forgery. In this paper a technique is presented to detect Copy-Move Forgery based on SURF and KD-Tree for multidimensional data matching. We demonstrate our method with high resolution images affected by copy-move forgery.