NDLI: Image copy-move forgery detection using sparse recovery and keypoint matching

Content Provider	IET Digital Library
Author	Hajialilu, Somayeh Fatan Azghani, Masoumeh Kazemi, Neda
Abstract	Copy-move forgery (CMF) detection is one of the most practical problems in image forensics. The authenticity of the image becomes more crucial when the images are used in the criminal investigations, intelligence services, and medical documentations. In this study, the authors suggest a CMF detection algorithm. At first they they suggest to use a sparse recovery algorithm to identify the suspicious segments. To incorporate the colour information of the image segments, they propose to compare the histograms of the identified segments to detect the similar ones. The keypoints of those parts are obtained and the matched ones are located. In the last step, they suggest a morphology scheme to extract the forged region. They have evaluated the proposed method in the detection of various forged images. The simulation results reveal the forgery detection capabilities of the suggested algorithm compared to the other state-of-the-art schemes. The proposed method has superiority over its counterparts in detecting the scaled forgeries. Moreover, the sparse recovery step enables the proposed algorithm to remove the genuine repeated patterns of the image, while the other CMF detection techniques wrongly consider those parts as a forgery. Furthermore, the proposed scheme is on-average faster than the other schemes.
Starting Page	2799
Ending Page	2807
Page Count	9
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6246
Journal	IET Image Processing
Publisher Date	2020-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authenticity CMF Detection Algorithm CMF Detection Technique Colour Information Computer Vision And Image Processing Technique Criminal Investigations Feature Extraction Filtering Method in Signal Processing Filtering Theory Forged Image Forged Region Forgery Detection Capabilities Identified Segments Image Colour Analysis Image Copy-move Image Forensics Image Matching Image Recognition Image Representation Image Segmentation Image Segments Intelligence Services Keypoint Matched Ones Medical Documentations Morphology Scheme Object Detection Optical, Image And Video Signal Processing Scaled Forgeries Similar Ones Sparse Recovery Algorithm Sparse Recovery Step State-of-the-art Scheme Suspicious Segments
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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

Copy-for-duplication forgery detection in colour images using QPCETMs and sub-image approach

Image copy-move forgery detection algorithm based on ORB and novel similarity metric

Reducing Forged Features Using Tampered and Inconsistent Image Detection Techniques in Digital Image Processing

Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD

Review, analysis and parameterisation of techniques for copy–move forgery detection in digital images

Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm

Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm

Copy–move forgery detection based on multi-radius PCET

Image copy-move forgery detection using sparse recovery and keypoint matching

Similar Documents

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

Copy-for-duplication forgery detection in colour images using QPCETMs and sub-image approach

Image copy-move forgery detection algorithm based on ORB and novel similarity metric

Reducing Forged Features Using Tampered and Inconsistent Image Detection Techniques in Digital Image Processing

Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD

Review, analysis and parameterisation of techniques for copy–move forgery detection in digital images

Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm

Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm

Copy–move forgery detection based on multi-radius PCET

Image copy-move forgery detection using sparse recovery and keypoint matching