Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images-Reference-Cited by-同舟云学术

Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images

Published:2017-10 Issue: Volume:279 Page:8-21
ISSN:0379-0738
Container-title:Forensic Science International
language:en
Short-container-title:Forensic Science International

Author:

Mahmood Toqeer^ORCID,Irtaza Aun,Mehmood Zahid,Tariq Mahmood Muhammad^ORCID

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference42 articles.

1. A survey on block based copy move image forgery detection techniques;Mahmood;2015 11th International Conference on Emerging Technologies (ICET),2015

2. Survey on blind image forgery detection;Qazi;Image Process. IET,2013

3. A sift-based forensic method for copy-move attack detection and transformation recovery;Amerini;IEEE Trans. Inform. Forensics Secur.,2011

4. Copy-move forgery detection by matching triangles of keypoints;Ardizzone;IEEE Trans. Inform. Forensics Secur.,2015

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