Copy-move forgery detection of duplicated objects using accurate PCET moments and morphological operators

ABSTRACT

This paper presents a new method for copy-move forgery detection of duplicated objects. A bounding rectangle is drawn around the detected object to form a sub-image. Morphological operator is used to remove the unnecessary small objects. Highly accurate polar complex exponential transform moments are used as features for the detected objects. Euclidian distance and correlation coefficient between the feature vectors are calculated and used for searching the similar objects. A set of 20 forged images with duplicated objects is carefully selected from previously published works. Additional 80 non-forged images are edited by the authors and forged by duplicating different kinds of objects. Numerical simulation is performed where the results show that the proposed method successfully detect different kinds of duplicated objects. The proposed method is much faster than the previously existing methods. Also, it exhibits high robustness to various attacks such as additive white Gaussian noise, JPEG compression, rotation, and scaling.

KEYWORD:

• Copy-move forgery
• duplicated objects
• PCET moments
• morphological opening operators
• median filter
• image forgery
• tampering
• geometric attacks

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Khalid M. Hosny is a professor of information technology, faculty of Computers and Informatics at Zagazig University. He received the B.Sc., M.Sc. and Ph.D. from Zagazig University, Zagazig, Egypt in 1988, 1994, and 2000, respectively. From 1997 to 1999, he was a visiting scholar, University of Michigan, Ann Arbor and University of Cincinnati, Cincinnati, USA. He is a senior member of ACM and a member of IEEE and the IEEE computer society. His research interests include image processing, pattern recognition and computervision. Dr. Hosny published more than 50 papers in international journals. He is an editor and scientific reviewer for more than thirty international journals.

Hanaa M. Hamza received her the B.Sc., M.Sc., and Ph.D. from Zagazig University, Zagazig, Egypt, in 2006, 2012, and 2018, respectively. She is currently an Assistant Professor of Information Technology, Faculty of computers and informatics, at Zagazig University, Egypt. Her current research interests include image processing, pattern recognition, and computer vision.

Nabil A. Lashin has recieved his B.Sc. in Communication and electronics Engineering (1993) from Zagazig University, M. Sc. in Communication and electronics Engineering (1999) from Cairo University, and his Ph.D. in Electrical Engineering and Computer Science (2005) from the Technical University of Berlin, Germany. He is currently an Assistant Professor of Information Technology, with Zagazig University, Egypt.

ORCID

Khalid M. Hosny http://orcid.org/0000-0001-8065-8977

Hanaa M. Hamza http://orcid.org/0000-0003-1008-2612

Nabil A. Lashin http://orcid.org/0000-0002-1890-3895

Image permission notes

Figure 3, source: Ref [25]

Figure 4, source: Ref [33]

Figure 5, source: https://www5.cs.fau.de/research/data/image-manipulation/

Figure 6, source: Ref [34]

Figure 7, source: http://www.cs.washington.edu/research/imagedatabase/groundtruth/.