Open AccessFragile Water-Marking Based Image Authentication Scheme using LSBs
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1132.0789s19
Subject(s) - code (set theory) , singular value decomposition , computer science , image (mathematics) , least significant bit , authentication (law) , block (permutation group theory) , singular value , computer vision , digital image , encoding (memory) , image quality , artificial intelligence , mathematics , image processing , eigenvalues and eigenvectors , computer security , physics , geometry , set (abstract data type) , quantum mechanics , programming language , operating system
This paper proposed a Quick response code (QR code) based strategy to provide authentication to our digital images. Quick response code is used to provide protection to digital images because of its important characteristics like detection from direction and large data encoding capacity. First of all, Least Significant Bit (LSB) approach is applied on the original image to select LSBs from each block of the image. Next, LSB image is partitioned into sized blocks and mean is calculated for each block of the cell. Then Singular Value Decomposition function is performed on this cell to get singular values which are used as authentication data. After that QR Code generator is used to generate QR code matrix from these singular values. And finally this code is inserted into MSBs to get an authenticated image. Experimental result shows that proposed method produces images with good quality.