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Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching
Yuanman Li; Jiantao Zhou
2019-05
Source PublicationIEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
ISSN1556-6013
Volume14Issue:5Pages:1307-1322
Abstract

Copy-move forgery is one of the most commonly used manipulations for tampering digital images. Keypoint-based detection methods have been reported to be very effective in revealing copy-move evidence due to their robustness against various attacks, such as large-scale geometric transformations. However, these methods fail to handle the cases when copy-move forgeries only involve small or smooth regions, where the number of keypoints is very limited. To tackle this challenge, we propose a fast and effective copy-move forgery detection algorithm through hierarchical feature point matching. We first show that it is possible to generate a sufficient number of keypoints that exist even in small or smooth regions by lowering the contrast threshold and rescaling the input image. We then develop a novel hierarchical matching strategy to solve the keypoint matching problems over a massive number of keypoints. To reduce the false alarm rate and accurately localize the tampered regions, we further propose a novel iterative localization technique by exploiting the robustness properties (including the dominant orientation and the scale information) and the color information of each keypoint. Extensive experimental results are provided to demonstrate the superior performance of our proposed scheme in terms of both efficiency and accuracy.

KeywordCopy-move Forgery Detection Hierarchical Feature Matching Iterative Localization
DOIhttp://doi.org/10.1109/TIFS.2018.2876837
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000457798900006
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Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYuanman Li; Jiantao Zhou
Affiliationthe Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yuanman Li,Jiantao Zhou. Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2019,14(5):1307-1322.
APA Yuanman Li,&Jiantao Zhou.(2019).Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,14(5),1307-1322.
MLA Yuanman Li,et al."Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 14.5(2019):1307-1322.
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