Fragile Water-Marking Based Image Authentication Scheme using LSBs
Sandeep Kaur1, Alka Jindal2
1Sandeep Kaur, Department of Computer Science and Engineering, Punjab Engineering College, Chandigarh, India.
2Alka Jindal, Department of Computer Science and Engineering, Punjab Engineering College, Chandigarh, India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 26 August 2019 | PP: 819-824 | Volume-8 Issue-9S August 2019 | Retrieval Number: I101320789S19/19©BEIESP | DOI: 10.35940/ijitee.I1132.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Image Authentication, Least Significant bit, QR Code, Singular Value Decomposition.
Scope of the Article: Authentication, Authorization, Accounting