吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 171-176.doi: 10.13229/j.cnki.jdxbgxb201401029

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Coloured image copy-move forgery detection based on SIFT and HIS

SHEN Xuan-jing1,2, ZHU Ye1,2, LYU Ying-da1,2, CHEN Hai-peng1,2   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2012-11-30 Online:2014-01-01 Published:2014-01-01

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Abstract:

In order to solve the problem of the false matching in detecting copy-move forgeries, an improved method based on Scale Invariant Feature Transform (SIFT) and HSI was proposed in this study. First, the SIFT key points and SIFT feature vector are extracted. Secondly, for each SIFT point the HSI feature is extract. Finally, the SIFT feature vector and the HSI feature vector between every two different key points are matched to determine the copy-move regions. The experimental results show that the proposed algorithm based on SIFT and HSI can reduce false matching rate in comparison with the SIFT algorithm, the SURF algorithm and the improved SIFT algorithm. The proposed algorithm has higher robustness even when an image is distorted by Gaussian blur, white noise and JPEG recompression.

Key words: computer application, blind identification, copy-move forgery, SIFT feature vector, HSI color space

CLC Number: 

  • TP391

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