Over-Segmentation Based Image Forgery Detection

DOI

10.2991/esac-15.2015.7How to use a DOI?

Keywords

Copy-Move forgery detection, Adaptive over-segmentation, Non-overlapping and irregular blocks

Abstract

This paper proposes an adaptive over-segmentation meth-od for image copy-move forgery detection. Firstly, the Adaptive Over-Segmentation algorithm is proposed to adaptively segment the host image into non-overlapping and irregular blocks. Then the feature points are extracted and matched with each other to locate the labeled feature points which can approximately indicate the suspected forgery regions. Finally the labeled feature points are processed and the morphological operation is applied to generate the detected forgery regions. Experimental results indicate the good performance of the proposed copy-move forgery detection.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiu-Li Bi
AU  - Chi-Man Pun
AU  - Xiao-Chen Yuan
PY  - 2015/08
DA  - 2015/08
TI  - Over-Segmentation Based Image Forgery Detection
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.7
DO  - 10.2991/esac-15.2015.7
ID  - Bi2015/08
ER  -