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Surf Technique for Copy Move Forgery Detection

Published on September 2016 by Mandeep Kaur, Sukhman Sodhi
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International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2016 - Number 1
September 2016
Authors: Mandeep Kaur, Sukhman Sodhi
4fe14008-aebd-4c5e-a9d0-30b19203be8e

Mandeep Kaur, Sukhman Sodhi . Surf Technique for Copy Move Forgery Detection. International Conference on Advances in Emerging Technology. ICAET2016, 1 (September 2016), 10-12.

@article{
author = { Mandeep Kaur, Sukhman Sodhi },
title = { Surf Technique for Copy Move Forgery Detection },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { September 2016 },
volume = { ICAET2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 10-12 },
numpages = 3,
url = { /proceedings/icaet2016/number1/25877-t021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Mandeep Kaur
%A Sukhman Sodhi
%T Surf Technique for Copy Move Forgery Detection
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2016
%N 1
%P 10-12
%D 2016
%I International Journal of Computer Applications
Abstract

In modern era, digital images are widely used in various fields like medical manipulation, in journalism and digital forensics. Digital images can be easily tampered with the image editing tools. So one of the major problem in image forensic is that a particular image is authentic or not. Different types of image forgery detection techniques are there. In this paper, the SURF technique for the detection of copy move image forgery to check the image is authentic or not is discussed. For this, MATLAB platform is used to analyze the performance of copy move forgery detection technique for different resolution images. Results shows that forged or non original regions have been identified correctly for still images.

References
  1. Ashima Gupta "Detecting Copy move Forgery using DCT", IJSRP Vol. 3, Issue 5 (2013).
  2. B. L. Shivakumar and Lt. Dr. S. Santhosh Baboo "Detection of Region Duplication Forgery in Digital Images Using SURF", IJCSI Vol. 8, Issue 4, No 1. (2012).
  3. M. Ali Qureshi and M. Deriche "A Review on Copy Move Image Forgery Detection Techniques" IEEE Multi-conference on systems, signals and devices (SSD) (2014).
  4. Saiqa Khan and Arun Kulkarni "Reduced Time Complexity for Detection of Copy-Move Forgery Using Discrete Wavelet Transform", International Journal of Computer Applications pp. 0975 – 8887 Vol. 6 issue No. 7. (2010)
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  8. Xu Bo et al. "Image Copy-move Forgery Detection Based on SURF" IEEE International conference on Multimedia information networking and security, Page(s) 889-892 ( 2010).
  9. Harpreet Kaur, Jyoti Saxena et al. " A review onKey-point based copy-move forgery detection and their hybrid methods" Journal of The International Association of Advanced Technology and Science, ISSN-4265-0578, Vol. 16 | June 2015.
  10. Xunyu Pan rt al. "Region Duplication Detection Using Image Feature Matching" IEEE trasactions on information forensics and security, Vol. 5, No. 4, December 2010.
  11. Preeti Yadav et al. " Detection of Copy-Move Forgery of Images Using Discrete Wavelet Transform" International Journal on Computer Science and Engineering (IJCSE)
  12. Shikha Gupta et al. "Feature Extraction Using MFCC" An International Journal (SIPIJ) Vol. 4, No. 4, August 2013.
  13. Harpreet Kaur, Jyoti Saxena et al "Simulative Comparison of Copy- Move Forgery Detection Methods for Digital Images" International Journal of Electronics, Electrical and Computational System IJEECS ISSN 2348-117X Vol 4.
Index Terms

Computer Science
Information Sciences

Keywords

Surf Copy-move Matlab Key Point Based Block Based.