Copy-Rotation-Move Forgery Detection Using the MROGH descriptor

被引：6
|
作者：
Yu, Liyang [1 ,2 ]
Han, Qi [1 ]
Niu, Xiamu [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Peoples R China
[2] Mudanjiang Normal Univ, Dept Comp Sci & Technol, Mudanjiang, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E) | 2014年
关键词：
copy-move forgery detection; rotation invariance; MROGH descriptor; Harris Corner Detector; non-maximal suppression;
D O I：
10.1109/IC2E.2014.54
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to its simplicity and effectiveness, copy-move forgery has become a commonly used approach to forging images and detection of this behavior has attracted much attention in recent years. Usually integrated in the copy-move forgery process is the rotation operation, which makes rotation invariance a critical property of the copy-move forgery detection methods. In this paper, we propose to use screened Harris Corner Detector and the MROGH descriptor as feature detector and descriptor respectively, to gain better feature coverage and robustness against rotation. Experimental results illustrates the efficacy of our method.
引用
收藏
页码：510 / 513
页数：4
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