Singular Value Decomposition (SVD) based Image Tamper Detection Scheme

被引:2
|
作者
Kaur, Sandeep [1 ]
Jindal, Alka [2 ]
机构
[1] Punjab Engn Coll, Comp Sci & Engn Informat Secur, Chandigarh, India
[2] Punjab Engn Coll, Comp Sci & Engn, Chandigarh, India
来源
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020) | 2020年
关键词
Image authentication; singular values; QR code;
D O I
10.1109/icict48043.2020.9112432
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Image authentication techniques are basically used to check whether the received document is accurate or actual as it was transmitted by the source node or not. Image authentication ensures the integrity of the digital images and identify the ownership of the copyright of the digital images. Singular Value Decomposition (SVD) is method based on spatial domain which is used to extract important features from an image. SVD function decomposes an image into three matrices (U, S, V), the S matrix is a diagonal matrix constitutes singular values. These values are important features of that particular image. The quick response code features are utilized to create QR code from the extracted values. The evaluations produced represents that this designed method is better in producing authenticated image as compared to existing schemes.
引用
收藏
页码:695 / 699
页数:5
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