Copy move image forgery detection based on Polar Fourier representation

Yitian Wang, Sei Ichiro Kamata

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


With the rapid development of multimedia technology, it's easy for someone to obtain an image and edit it according to their own preferences or some ulterior purpose. Copy-Move is a common type of digital image forgery where a part of the original image is copied and pasted at another position in the same image. In this paper, we propose an efficient methodology for enhancing block matching based on Copy-Move forgery detection. The main contribution of this work is the utilization of polar representation to get the representative features for each block. The main feature used in this paper is the frequency of each block based on Fourier transform. The experimental results show the efficiency of the proposed method for detecting copy-move regions, even when the copied region has undergone severe image manipulations such as rotation, scaling, Gaussian blurring, brightness modification, JPEG compression and noise addition.

Original languageEnglish
Pages (from-to)158-163
Number of pages6
JournalInternational Journal of Machine Learning and Computing
Issue number2
Publication statusPublished - 2018 Apr 1


  • Copy move
  • Forgery detection
  • Fourier transform
  • Polar coordinate system

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence


Dive into the research topics of 'Copy move image forgery detection based on Polar Fourier representation'. Together they form a unique fingerprint.

Cite this