Multi-scale feature extraction and adaptive matching for copy-move forgery detection
Bi, XiuLi1; Pun, Chi-Man1; Yuan, Xiao-Chen2

A copy-move forgery detection scheme by using multi-scale feature extraction and adaptive matching is proposed in this paper. First, the host image is segmented into the non-overlapping patches of irregular shape in different scales. Then, Scale Invariant Feature Transform is applied to extract feature points from all patches, to generate the multi-scale features. An Adaptive Patch Matching algorithm is subsequently proposed for finding the matching that indicate the suspicious forged regions in each scale. Finally, the suspicious regions in all scales are merged to generate the detected forgery regions in the proposed Matched Keypoints Merging algorithm. Experimental results show that the proposed scheme performs much better than the existing state-of-the-art copy-move forgery detection algorithms, even under various challenging conditions, including the geometric transforms, such as scaling and rotation, and the common signal processing, such as JPEG compression and noise addition; in addition, the special cases such as the multiple copies and the down-sampling are also evaluated, the results indicate the very good performance of the proposed scheme.

KeywordCopy-move Forgery Detection Multi-scale Feature Extraction Adaptive Patch Matching
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000419995400016
The Source to ArticleWOS
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Cited Times [WOS]:16   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorPun, Chi-Man
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, China
2.Faculty of Information Technology, Macau University of Science and Technology, Macau, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Bi, XiuLi,Pun, Chi-Man,Yuan, Xiao-Chen. Multi-scale feature extraction and adaptive matching for copy-move forgery detection[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(1):363-385.
APA Bi, XiuLi,Pun, Chi-Man,&Yuan, Xiao-Chen.(2018).Multi-scale feature extraction and adaptive matching for copy-move forgery detection.MULTIMEDIA TOOLS AND APPLICATIONS,77(1),363-385.
MLA Bi, XiuLi,et al."Multi-scale feature extraction and adaptive matching for copy-move forgery detection".MULTIMEDIA TOOLS AND APPLICATIONS 77.1(2018):363-385.
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