IEICE TRANSACTIONS on Information
A Keypoint-Based Region Duplication Forgery Detection Algorithm
Summary :
The copy-move or region duplication forgery technique is a very common type of image manipulation, where a region of the image is copied and then pasted in the same image in order to hide some details. In this paper, a keypoint-based method for copy-move forgery detection is proposed. Firstly, the feature points are detected from the image by using the Förstner Operator. Secondly, the algorithm extracts the features by using MROGH feature descriptor, and then matching the features. Finally, the affine transformation parameters can be estimated using the RANSAC algorithm. Experimental results are presented to confirm that the proposed method is effective to locate the altered region with geometric transformation (rotation and scaling).
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.9 pp.2413-2416
- Publication Date
- 2016/09/01
- Publicized
- 2016/06/13
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8024
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Mahmoud EMAM
Harbin Institute of Technology,Menoufia University
Qi HAN
Harbin Institute of Technology
Liyang YU
Harbin Institute of Technology
Hongli ZHANG
Harbin Institute of Technology
Keyword
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Mahmoud EMAM, Qi HAN, Liyang YU, Hongli ZHANG, "A Keypoint-Based Region Duplication Forgery Detection Algorithm" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 9, pp. 2413-2416, September 2016, doi: 10.1587/transinf.2016EDL8024.
Abstract: The copy-move or region duplication forgery technique is a very common type of image manipulation, where a region of the image is copied and then pasted in the same image in order to hide some details. In this paper, a keypoint-based method for copy-move forgery detection is proposed. Firstly, the feature points are detected from the image by using the Förstner Operator. Secondly, the algorithm extracts the features by using MROGH feature descriptor, and then matching the features. Finally, the affine transformation parameters can be estimated using the RANSAC algorithm. Experimental results are presented to confirm that the proposed method is effective to locate the altered region with geometric transformation (rotation and scaling).
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8024/_p
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@ARTICLE{e99-d_9_2413,
author={Mahmoud EMAM, Qi HAN, Liyang YU, Hongli ZHANG, },
journal={IEICE TRANSACTIONS on Information},
title={A Keypoint-Based Region Duplication Forgery Detection Algorithm},
year={2016},
volume={E99-D},
number={9},
pages={2413-2416},
abstract={The copy-move or region duplication forgery technique is a very common type of image manipulation, where a region of the image is copied and then pasted in the same image in order to hide some details. In this paper, a keypoint-based method for copy-move forgery detection is proposed. Firstly, the feature points are detected from the image by using the Förstner Operator. Secondly, the algorithm extracts the features by using MROGH feature descriptor, and then matching the features. Finally, the affine transformation parameters can be estimated using the RANSAC algorithm. Experimental results are presented to confirm that the proposed method is effective to locate the altered region with geometric transformation (rotation and scaling).},
keywords={},
doi={10.1587/transinf.2016EDL8024},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - A Keypoint-Based Region Duplication Forgery Detection Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 2413
EP - 2416
AU - Mahmoud EMAM
AU - Qi HAN
AU - Liyang YU
AU - Hongli ZHANG
PY - 2016
DO - 10.1587/transinf.2016EDL8024
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2016
AB - The copy-move or region duplication forgery technique is a very common type of image manipulation, where a region of the image is copied and then pasted in the same image in order to hide some details. In this paper, a keypoint-based method for copy-move forgery detection is proposed. Firstly, the feature points are detected from the image by using the Förstner Operator. Secondly, the algorithm extracts the features by using MROGH feature descriptor, and then matching the features. Finally, the affine transformation parameters can be estimated using the RANSAC algorithm. Experimental results are presented to confirm that the proposed method is effective to locate the altered region with geometric transformation (rotation and scaling).
ER -
English
