• Dr. Swapan Debbarma
• Poonam Chandel

Image tampering affects our documentary assets and has greatly eroded the trust one use to have on photos. One of the most common types of image tampering is the copy-move forgery where part of the image is copied and paste in the same image. The motive is to either highlight a particular object or to hide or remove an object from the image. Key points based approach uses descriptors from specific areas on the image unlike block based methods where features are extracted from every blocks. This lead to a smaller number of descriptors and hence a faster detection algorithm can be devised using key points. There are number of key points detection algorithms available, such as SIFT, SURF, GLOH etc., in this paper I am using SURF for the purpose of feature extraction and forgery detection. It also analyze its performance in terms of speed and accuracy. Multiple cloning of region is also taken care of using iterative method in matching.

Digital Forensic, Copy-move, SURF, Laplacian of Gaussian.

"DETECTION OF IMAGE FORGERY USING SPEED UP ROBUST TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.164-169, April-2019, Available :http://www.jetir.org/papers/JETIR1904J20.pdf

"DETECTION OF IMAGE FORGERY USING SPEED UP ROBUST TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp164-169, April-2019, Available at : http://www.jetir.org/papers/JETIR1904J20.pdf