Copy-Paste Forgery Detection in Digital Image Forensic

Authors

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

Keywords:

Image Forensic, Tamper Detection, Copy-Paste Forgery

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 2, March-April-2017

Section

Research Articles

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How to Cite

[1]
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.