Lokasi: Review on Local Binary Patterns Variants as Texture Descriptors for Copy-Move Forgery Detection

Main Authors:	Muhamad, Rafidah; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia., Abu Samah, Azurah; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia., Abdul Majid, Hairudin; Artificial Intelligence and Bioinformatics Research Group, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia., Sulong, Ghazali; School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Mohamad, Mohd Saberi; Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Karung Berkunci 01, 16300, Bachok, Kelantan, Malaysia., Kasim, Shahreen; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Batu Pahat, Johor, Malaysia.
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2017
Subjects:	LBP variants feature extraction digital image forgery copy-move
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3396 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/3396/pdf_529

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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