Image Authentication by Content Preserving Robust Image Hashing Using Local and Global Features

被引：8
|
作者：
Sebastian, Lima S. [1 ]
Varghese, Abraham [1 ]
Manesh, T. [2 ]
机构：
[1] Adi Shankara Inst Engn & Technol, Kalady 683574, Ernakulam, India
[2] Salman bin Abdulaziz Univ, Comp Sci & Informat Dept, Al Kharj 11991, Saudi Arabia
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014 | 2015年 / 46卷
关键词：
Image authentication; Image hash; Haralick features; MOD-LBP features; Zernike moments;
D O I：
10.1016/j.procs.2015.02.081
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image hashing technique constructs a short sequence from the image to represent its contents. This method proposes an image hash which is generated from Haralick and MOD-LBP features along with luminance and chrominance, which are computed from Zernike moments. Sender generates the hash from image features and attaches it with the image to be sent. The hash is analyzed at the receiver to examine the authenticity of the image. The method detects image forgery and locates the forged regions of the image. The proposed hash is robust to common content preserving modifications and sensitive to malicious manipulations. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：1554 / 1560
页数：7
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