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Symmetry 2016, 8(7), 62; doi:10.3390/sym8070062

Image Region Duplication Forgery Detection Based on Angular Radial Partitioning and Harris Key-Points

Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
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Author to whom correspondence should be addressed.
Academic Editors: Young-Sik Jeong, Laurence T. Yang and Stefanos Gritzalis
Received: 30 April 2016 / Revised: 3 July 2016 / Accepted: 6 July 2016 / Published: 13 July 2016
(This article belongs to the Special Issue Symmetry in Secure Cyber World)
View Full-Text   |   Download PDF [6107 KB, uploaded 13 July 2016]   |  

Abstract

Region duplication forgery where a part of the image itself is copied and pasted onto a different part of the same image grid is becoming more popular in image manipulation. The forgers often apply geometric transformations such as rotation and scaling operations to make the forgery imperceptible. In this study, an image region duplication forgery detection algorithm is proposed based on the angular radial partitioning and Harris key-points. Two standard databases have been used: image data manipulation and MICC-F220 (Media Integration and Communication Center– of the University of Florence) for experimentation. Experiment results demonstrate that the proposed technique can detect rotated regions in multiples of 30 degrees and can detect region duplication with different scaling factors from 0.8, to 1.2. More experimental results are presented to confirm the effectiveness of detecting region duplication that has undergone other changes, such as Gaussian noise, and JPEG compression. View Full-Text
Keywords: copy-move detection; duplicated region; Harris interest points; angular radial partitioning copy-move detection; duplicated region; Harris interest points; angular radial partitioning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Uliyan, D.M.; Jalab, H.A.; Abdul Wahab, A.W.; Sadeghi, S. Image Region Duplication Forgery Detection Based on Angular Radial Partitioning and Harris Key-Points. Symmetry 2016, 8, 62.

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