Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 76, Issue 20, Pages 20483-20497Publisher
SPRINGER
DOI: 10.1007/s11042-016-3967-0
Keywords
Digital image forensics; Region duplication detection; Copy-move forgery; Maximally stable color region
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Funding
- Natural Science Foundation of Guangdong [2016A030313350]
- Special Funds for Science and Technology Development of Guangdong [2016KZ010103]
- Fundamental Research Funds for the Central Universities [16LGJC83]
- National Natural Science Foundation of China [U1536203, 61272409]
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Copy-move detection is to find the existence of duplicated regions in an image. In this paper, an effective method based on region features is proposed to detect copy-move forgeries, especially when the image is multiple copied or with multiple copy-move groups. Firstly, maximally stable color region detector is applied to extract features, and these features are represented by Zernike moments. Then an improved matching strategy considering n best-matching features is applied to deal with the multiple-copied problem. Moreover, a hierarchical cluster algorithm is developed to estimate transformation matrices and confirm the existence of forgery. Based on these matrices, the duplicated regions can be located at pixel level. Experimental results indicate that the proposed scheme outperforms other similar state-of-the-art techniques.
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