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Journal of Electronic Imaging

Qualified matching feature collection for feature point-based copy-move forgery detection
Author(s): Liyang Yu; Qi Han; Xiamu Niu
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Paper Abstract

The feature matching step plays a critical role during the copy-move forgery detection procedure. However, when several highly similar features simultaneously exist in the feature space, current feature matching methods will miss a considerable number of genuine matching feature pairs. To this end, we propose a clustering-based method to collect qualified matching features for the feature point-based methods. The proposed method can collect far more genuine matching features than existing methods do, and thus significantly improve the detection performance, especially for multiple pasting cases. Experimental results confirm the efficacy of the proposed method.

Paper Details

Date Published: 23 April 2015
PDF: 12 pages
J. Electron. Imaging. 24(2) 023035 doi: 10.1117/1.JEI.24.2.023035
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Liyang Yu, Harbin Institute of Technology (China)
Mudanjiang Normal Univ. (China)
Qi Han, Harbin Institute of Technology (China)
Xiamu Niu, Harbin Institute of Technology (China)


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