NDLI: Composite attacks-based copy-move image forgery detection using AKAZE and FAST with automatic contrast thresholding

Content Provider	IET Digital Library
Author	Dixit, Anuja Bag, Soumen
Abstract	Copy-move image forgery is one of the most popular image tampering technique which can be performed for vicious purposes. In this forgery technique, selected region is copied and pasted at different locations on the same image to produce a manipulated image. Such forgery is denigratory as it can alter the image content by hiding or appending visual information. In this study, the authors propose a novel keypoint-based technique to detect forged images sustaining composite attacks consisting of various combinations of geometrical and post-processing operations. In the authors' method, AKAZE and FAST techniques are used to extract keypoints from the image. Non-maximal value suppression with automatic contrast thresholding is performed during FAST keypoint extraction. SIFT and DAISY descriptors are computed corresponding to extracted keypoints. PCA is applied over SIFT and DAISY descriptors to discard lower components which are sensitive to distortions occurred in images. They apply a correlation-based nearest neighbour search technique to detect similarity among keypoint descriptors. HDBSCAN algorithm is applied to obtain matched keypoint clusters. Further, RANSAC algorithm is utilised for removal of keypoint outliers. In comparison to state-of-the-art techniques, their approach achieve high F-measure (%) and low FPR (%) for image-level as well as pixel-level copy-move forgery detection.
Starting Page	4528
Ending Page	4542
Page Count	15
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 17, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.1118
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/17
Journal	IET Image Processing
Publisher Date	2020-12-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Contrast Thresholding Composite Attack-based Copy-move Image Forgery Computer Vision And Image Processing Technique Correlation-based Nearest Neighbour Search Technique Extracted KeyPoint FAST Keypoint Extraction Feature Extraction Forged Image Forgery Technique Image Content Image Forensics Image Matching Image Recognition Image Tampering Technique Image-level Keypoint Descriptors Keypoint Outliers Manipulated Image Matched Keypoint Clusters Nonmaximal Value Suppression Novel Keypoint-based Technique Optimisation Technique Pattern Clustering Pixel-level Copy-move Search Problem
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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