Review on local binary patterns variants as texture descriptors for copy-move forgery detection

• Main Authors: Muhamad, R., Majid, H. A., Samah, A. A., Sulong, G., Mohamad, M. S., Kasim, S.
• Format: Article
• Language: English
• Published: Insight Society 2017
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/81227/1/RafidahMuhamad2017_ReviewonLocalBinaryPatternsVariants.pdf; http://eprints.utm.my/id/eprint/81227/; http://dx.doi.org/10.18517/ijaseit.7.5.3396

Past decades had seen the concerned by researchers in authenticating the originality of an image as the result of advancement in computer technology. Many methods have been developed to detect image forgeries such as copy-move, splicing, resampling and et cetera. The most common type of image forger...