• S.DHIVYA
• B.SUDHAKAR

Copy move forgery is a champion among the most notable sorts of adjusting for mechanized pictures. discovery techniques for the most part use square coordinating methodologies which gap the picture into covering squares and after that concentrate and contrast highlights with locate the comparative ones in which the important key points are extricated and coordinated to one another other to locate the comparative ones. In this paper we present a novel half breed approach, which thinks about circles as opposed to squares. Intrigue focuses are separated from the picture and items are demonstrated as a lot of associated circles assemble onto these focuses. we exhibit that the proposed framework can separate fakes paying little heed to whether the delivered pictures were encountered some image taking care of assignments.

Copy move forgery detection (CMFD), Circle Key-Point Detection, SURF features, Edge Detection

"ANALYSIS OF FORGERY DETECTION BASED ON CIRCLE KEY POINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.931-935, June 2019, Available :http://www.jetir.org/papers/JETIR1906Y55.pdf

"ANALYSIS OF FORGERY DETECTION BASED ON CIRCLE KEY POINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp931-935, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Y55.pdf