• A.Subhadra
• K.Padma Priya

The copy-move forgery is the simplest image manipulation technique. In copy-move forgery, a copied portion of the image is pasted on another part of the same image. By grouping Scale Invariant Feature Transform (SIFT)keypoints and HARRIS corner points, this paper suggests an effective way to identify copy move forgeries. Tampered areas are then found by exploring similar neighborhoods and clustering SIFT keypoints and HARRIS corner points. The values of true positive rate, false positive rate, and F1 score are improved. The matlab tool is used to evaluate the experimental results.

copy-move forgery, SIFT Keypoints, HARRIS corner points

"Robust Features For Identification Of Copy Move Forgery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d441-d446, October-2022, Available :http://www.jetir.org/papers/JETIR2210369.pdf

"Robust Features For Identification Of Copy Move Forgery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd441-d446, October-2022, Available at : http://www.jetir.org/papers/JETIR2210369.pdf