INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Copy-move forgery is the type of image tampering in which some part of image is copied and pasted on another part of same image. Previously, two methods were used to detect copy-move forgery namely point based method and block based method. But this method does not work well for geometric transformation that is scaling and rotation for homogenous area. In this paper, we propose a new approach in which use Delaunay triangulation method to form triangles and then we compare that triangles to get the results. For preprocessing, Otsu method is used. Our experimental results show that our proposed approach detects copied area in the forge images very accurately even though it includes geometric distortions. The proposed method improves the efficiency as compare to existing methods.
Keywords:
Digital image forensics, Copy-move forgery, SIFT, SURF, Delaunay triangulation.
Cite Article:
"Detecting and Analyzing Copy-Move Forgery of an image", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.39 - 45, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604008.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1604008
Registration ID:160072
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 39 - 45
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn