Illumination‐based texture descriptor and fruitfly support vector neural network for image forgery detection in face images
Author:
Affiliation:
1. Department of CSEGMR Institute of TechnologyRajamAndhra PradeshIndia
2. Department of CSESri Krishna College of Engineering and TechnologyCoimbatoreIndia
3. Department of CSEDr.M.G.R Educational and Research InstituteChennaiIndia
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.1120
Reference31 articles.
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2. Forgery detection in digital images via discrete wavelet and discrete cosine transforms
3. An efficient forensic technique for exposing region duplication forgery in digital images;Mahmood T.;Appl. Intell.,2017
4. Image forgery detection using segmentation and swarm intelligent algorithm;Zhao F.;Wuhan Univ. J. Nat. Sci.,2017
5. A generic passive image forgery detection scheme using local binary pattern with rich models;Farooq S.;Comput. Electr. Eng.,2017
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