A Review on Copy-Move Image Forgery Detection Techniques

Author:

Khudhair Zaid Nidhal,Mohamed Farhan,Kadhim Karrar A.

Abstract

Abstract With billions of digital images flooding the internet which are widely used and regards as the major information source in many fields in recent years. With the high advance of technology, it may seem easy to fraud the image. In digital images, copy-move forgery is the most common image tampering, where some object(s) or region(s) duplicate in the digital image. The important research has attracted more attention in digital forensic is forgery detection and localization. Many techniques have been proposed and many papers have been published to detect image forgery. This paper introduced a review of research papers on copy-move image forgery published in reputed journals from 2017 to 2020 and focused on discussing various strategies related with fraud images to highlight on the latest tools used in the detection. This article will help the researchers to understand the current algorithms and techniques in this field and ultimately develop new and more efficient algorithms of detection copy-move image.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference36 articles.

1. An Image Forgery Detection using SIFT-PCA;Bhole,2020

2. A Survey on Image Forgery Detection Using Different Forensic Approaches;Saber;Advances in Science, Technology and Engineering Systems Journal,2020

3. A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale-invariant feature Transforms;Meena,2020

4. Digital image forgery detection using compact multi texture representation;Divya;Journal of Intelligent & Fuzzy Systems

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