Key-Point Based Copy-Move Forgery Detection and Their Hybrid Methods: A Review

Authors

  • Harpreet Kaur Research Scholar, Department of Electronics and Communication Engineering, GZS-PTU Campus, Bathinda, Punjab, India
  • Jyoti Saxena Assistant Professor, Department of Electronics and Communication Engineering, GZS-PTU Campus, Bathinda, Punjab, India
  • Sukhjinder Singh Assistant Professor, Department of Electronics and Communication Engineering, GZS-PTU Campus, Bathinda, Punjab, India

DOI:

https://doi.org/10.53555/nneee.v2i6.189

Keywords:

Block based,, copy-move image forgery, keypoint based, SIFT, SURF and ORB

Abstract

Copy-move image forgery is one of the tampering techniques that need to be tackled with. Many copy-move forgery detection techniques such as exhaustive search, block and key-point matching based methods have been proposed for the detection of copy-move image forgery. Although key-point based methods were found better than block based methods in terms of computational efficiency, space complexity and robustness against rotation and scaling. However, key-point based methods also possess a number of limitations. So, researchers have proposed many integrated methods to cope up with the limitations of key-point based methods and to make copy move forgery detection more reliable. In this paper, keypoint based methods such as SIFT, SURF, ORB and their integrated methods are reviewed.

Author Biography

  • Sukhjinder Singh, Assistant Professor, Department of Electronics and Communication Engineering, GZS-PTU Campus, Bathinda, Punjab, India

    Assistant Professor

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Published

2015-06-30

How to Cite

Kaur, H., Saxena, J., & Singh, S. (2015). Key-Point Based Copy-Move Forgery Detection and Their Hybrid Methods: A Review. Journal of Advance Research in Electrical & Electronics Engineering (ISSN 2208-2395), 2(6), 06-13. https://doi.org/10.53555/nneee.v2i6.189