• ADARI VENKATA DURGA GAYATHRI

In this paper we propose a scheme to detect the copy-move forgery in an image, mainly by extracting the key points for comparison. The main difference to the traditional methods is that the proposed scheme first segments the test image into semantically independent patches prior to key point extraction. As a result, the copy-move regions can be detected by matching between these patches. The matching process consists of two stages. In the first stage, we find the suspicious pairs of patches that may contain copy-move forgery regions, and we roughly estimate an affine transform matrix. In the second stage, an EM-based algorithm is designed to refine the estimated matrix and to confirm the existence of copy-move forgery. Experimental results prove the good performance of the proposed scheme via comparing it with the state-of-the-art schemes on the public databases.

Copy-Move Forgery Detection, Adaptive Over-Segmentation, Local Color Feature, Forgery Region Extraction

"IMAGE FORGERY DETECTION USING ADAPTIVE OVER SEGMENTATION AND FEATURE POINT MATCHING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c144-c152, November-2021, Available :http://www.jetir.org/papers/JETIR2111218.pdf

"IMAGE FORGERY DETECTION USING ADAPTIVE OVER SEGMENTATION AND FEATURE POINT MATCHING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc144-c152, November-2021, Available at : http://www.jetir.org/papers/JETIR2111218.pdf