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Novel Copy move Forgery Detection Based on Repeated Feature Extraction and Delaunay Triangulation

Publication Type : Journal Article

Publisher : International Journal of Innovative Technology and Exploring Engineering

Source : International Journal of Innovative Technology and Exploring Engineering, Volume 9, Issue 3, 2364-2369, January 2020. DOI:10.35940/ijitee.C8971.019320

Url : https://www.ijitee.org/portfolio-item/C8971019320/

Campus : Kochi

School : School of Computing

Year : 2020

Abstract : Nowadays new and creative methods of forging images are developed with the invention of sophisticated softwares like Adobe photoshop. Tools available in such softwares will make the forged image look real which cannot be even identified by a naked eye. In this paper, key point based approach of taking out features using Scale Invariant Feature Transform (SIFT) is used. The feature points thus extracted are then modeled to get a set of triangles using Delaunay Triangulation method. These triangles are matched using mean vertex descriptor and the removal of false positives is done using the method of Random Sample Consensus (RANSAC). Implementation show that the proposed approach outdoes the equivalent methods

Cite this Research Publication : Dhanya R, Kalaiselvi R, "Novel Copy move Forgery Detection Based on Repeated Feature Extraction and Delaunay Triangulation", International Journal of Innovative Technology and Exploring Engineering, Volume 9, Issue 3, 2364-2369, January 2020. DOI:10.35940/ijitee.C8971.019320

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