Comparison of matching methods for copy-move image forgery detection

Osamah M. Al-Qershi, Bee Ee Khoo

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

Original languageEnglish
Title of host publication9th International Conference on Robotic, Vision, Signal Processing and Power Applications
Subtitle of host publicationEmpowering Research and Innovation
EditorsHaidi Ibrahim, Shahid Iqbal, Soo Siang Teoh, Mohd Tafir Mustaffa
Place of PublicationSingapore Singapore
Number of pages10
ISBN (Electronic)9789811017216
ISBN (Print)9789811017193
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Robotics, Vision, Signal Processing and Power Applications 2016 - Penang, Malaysia
Duration: 2 Feb 20163 Feb 2016
Conference number: 9th

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceInternational Conference on Robotics, Vision, Signal Processing and Power Applications 2016
Abbreviated titleROVISP 2016
Internet address


  • Copy-move
  • Digital image forensics
  • Image forgery

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