Authors:
Sajjad Dadkhah
1
;
Mario Köppen
1
;
Hamid A. Jalab
2
;
Somayeh Sadeghi
2
;
Azizah Abdul Manaf
3
and
Diaa Uliyan
4
Affiliations:
1
Kyushu Institute of Technology, Japan
;
2
University of Malaya, Malaysia
;
3
Universiti Teknologi Malaysia, Malaysia
;
4
Middle East University, Jordan
Keyword(s):
Authentication, Digital Forensics, Forgery Detection, Image Analysis, Image Processing.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Feature Selection and Extraction
;
Image Understanding
;
Pattern Recognition
;
Theory and Methods
Abstract:
Copy-move forgery is a special type of forgery that involves duplicating one region of an image by covering
it with a copy of another region from the same image. This study develops a simple and powerful descriptor
called Electromagnetismlike mechanism descriptor (EMag), for locating tampered areas in copy-move forgery
on the basis of Fourier transform within a reasonable amount of time. EMag is based on the collective
attraction-repulsion mechanism, which considers each images pixel as an electrical charge. The main component
of EMag is the degree of the attraction-repulsion force between the current pixel and its neighbours. In
the proposed algorithm, the image is divided into similar non-overlapping blocks, and then the final force for
each block is evaluated and used to construct the tampered image features vector. The experimental results
demonstrate the efficiency of the proposed algorithm in terms of detection time and detection accuracy. The
detection rate of the proposed alg
orithm is improved by reduction of false positive rate (FPR) and increment
of true positive rate (TPR).
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