CFP last date
22 July 2024
Reseach Article

A Proposed Work on Image Forgery Detection Technique

by Manjima Mishra, Preeti Rai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 2
Year of Publication: 2017
Authors: Manjima Mishra, Preeti Rai

Manjima Mishra, Preeti Rai . A Proposed Work on Image Forgery Detection Technique. International Journal of Computer Applications. 163, 2 ( Apr 2017), 18-21. DOI=10.5120/ijca2017913470

@article{ 10.5120/ijca2017913470,
author = { Manjima Mishra, Preeti Rai },
title = { A Proposed Work on Image Forgery Detection Technique },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 2 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913470 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:09:04.720274+05:30
%A Manjima Mishra
%A Preeti Rai
%T A Proposed Work on Image Forgery Detection Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 2
%P 18-21
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

Digital imaging has grown to become the prevalant technology for creating, processing, and storing digital memory and proof. Though this technology brings many leverage, it can be used as a ambiguous tool for covering details and evidences. This is because today digital images can be tampered in such supermacy that forgery cannot be find visually. In fact, the immunity concern of digital content has arisen a long time ago and different methods to verify the efficiency of digital images have been developed. Digital images offer many features for forgery detection algorithm to take precedence of specifically the colour and brightness of individual pixels as well as an image’s resolution and format. These properties grant for analysis and similarity between the significance of digital forgeries in an attempt to develop an algorithm for detecting image tampering. This paper presents a technique for copy move image forgery detection using 2-Directional 2-Dimensional Principal Component Analysis (2D)²PCA.

  1. Mohd Dilshad Ansari, S. P. Ghrera & Vipin Tyagi 2014 Pixel-Based Image Forgery Detection: A Review. IETE Journal of Education.
  2. Ashima Gupta, Nisheeth Saxena, S.K Vasistha 2013 Detecting Copy Move using DCT, International Journal of Scientific and Research Publications.
  3. Vivek Kumar Singh and R.C. Tripathi 2011 Fast and Efficient Region Duplication Detection in Digital Images Using Sub-Blocking Method. International Journal of Advanced Science and Technology
  4. A. C. Popescu, and H. Farid 2004 Exposing digital forgeries by detecting duplicated image regions. Dept. Comput. Sci., Dartmouth College.
  5. J. Zhang, Z. Feng, and Y. Su 2008 A new approach for detecting copy-move forgery in digital images. In IEEE International Conference on Communication Systems, China.
  6. XiaoBing KANG, ShengMin WEI 2008 Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics. IEEE International Conference on Computer Science and Software Engineering, Wuhan, Hubei.
  7. M. K. Bashar, K. Noda, N. Ohnishi, and K. Mori 2010 Exploring Duplicated Regions in Natural Images”, IEEE Transactions on Image Processing.
  8. P. Kakar and N. Sudha 2012Exposing post processed copy-paste forgeries through transform-invariant features. IEEE Trans Inf Forensics Security.
  9. Muhammad, M. Hussain and G. Bebis 2012 Passive copy move image forgery detection using undecimated dyadic wavelet transform. Digital Investigation.
  10. P. Sutthiwan, Y. Q. Shi, S. Wei and N. Tian-Tsong 2010 Rake transform and edge statistics for image forgery detection. Proc. IEEE International conference on multimedia and Expo.
  11. Huang H, Guo W, Zhang Y 2008 Detection of copy-move forgery in digital images using SIFT algorithm. In: Proc. IEEE Pacific-Asia workshop on Computational Intelligence and Industrial Application.
  12. Fridrich J, Soukal D, Lukas J 2003 Detection of copy-move forgery in digital images. In: Proceedings of Digital Forensic Research Workshop.
  13. M. Ghorbani, M. Firouzmand, and A. Faraahi 2004 DWT-DCT (QCD) based copy-move image forgery detection. In 18thIEEE International Conference on Systems, Signals and Image Processing.
  14. S. D. Lin 2011 An integrated technique for splicing and copy move forgery image detection. In IEEE 4th International Congress on Image and Signal Processing.
  15. Leida Li, Shushang Li, Hancheng Zhu, Xiaoyue Wu 2014 Detecting copy-move forgery under affine transforms for image Forensics. Elsevier Computers and Electrical Engineering.
  16. Saba Mushtaq and Ajaz Hussain Mir 2014 Digital Image Forgeries and Passive Image Authentication Techniques: A Survey. International Journal of Advanced Science and Technology.
  17. Tu K.Huynh, Khoa V.Huynh, Thuong Le-Tien, Sy C.Nguyen 2015A Survey on Image Forgery Detection Techniques. IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for Future (RIVF).
  18. Video Communication Laboratory.
Index Terms

Computer Science
Information Sciences


Copy-move Image forgery Image forgery detection Features extraction Lexicographical sorting.