Copy-Paste Forgery Detection in Digital Image Forensic

Authors(2) :-Anushree U. Tembe, Supriya S. Thombre

The digital image forensic has increased nowadays new trends and creative ways to forged images. The software's are available that are used to manipulate the image so that the image looks like as original. In this paper the point-based approach used, in which relevant keypoints are extracted using Scale Invariant Feature Transforms. Interested points are extracted from the image, and extracted points are modeled as a set of connected triangles using Delaunay Triangulation Copy-paste image forgery where one portion of an image is replaced with the same image. Finally trying to show the efficiency and accuracy of this technique for detecting copy-paste forgery with translation, scaling, rotation, stretching.

Authors and Affiliations

Anushree U. Tembe
Department of Computer Science & Engineering, YCCE, Nagpur, Maharashtra, India
Supriya S. Thombre
Department of Computer Science & Engineering, YCCE, Nagpur, Maharashtra, India

Image Forensic, Tamper Detection, Copy-Paste Forgery

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Publication Details

Published in : Volume 3 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 495-500
Manuscript Number : IJSRSET1732129
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Anushree U. Tembe, Supriya S. Thombre, " Copy-Paste Forgery Detection in Digital Image Forensic, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.495-500, March-April-2017.
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