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A SIFT and local features based integrated method for copy-move attack detection in digital image
Liu B.; Pun C.-M.
2013-12-01
Conference Name2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA)
Source Publication2013 IEEE International Conference on Information and Automation, ICIA 2013
Pages865-869
Conference DateAUG 26-28, 2013
Conference PlaceYinchuan, CHINA
Abstract

To determine whether a particular image is authentic or not is a principal problem in digital image forensics. Many techniques have been proposed to detect clues of intended manipulation in the literature. In this paper, an integrated method based on SIFT and local features including color and texture features has been developed to deal with copy-move attack. Initially analogous feature points are paired by comparing SIFT features. Then a distance examination is applied to eliminate false matched points. Normalized RGB color feature of matched points neighborhoods is extracted and comparison between pairs produced by previous step is done. At last revised Gabor texture feature is utilized to dispose of the rest false matched pairs by applying statistic tools and final detection result is presented. Experimental results demonstrate that proposed method is able to detect altered area even though these regions are changed in geometry and shading. © 2013 IEEE.

KeywordAuthenticity Verification Copy-move Attack Digital Image Forensics Gabor Filter Sift
DOI10.1109/ICInfA.2013.6720415
URLView the original
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000346483800156
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Liu B.,Pun C.-M.. A SIFT and local features based integrated method for copy-move attack detection in digital image[C],2013:865-869.
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