Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i1/85786
Year: 2016, Volume: 9, Issue: 1, Pages: 1-6
Original Article
R. Punidha1* , S. Anisha Vincy2 , Mary Judith2 and D. Ramya2
1Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected] 2Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected], m[email protected], [email protected]
*Author For Correspondence
R. Punidha
Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected]
Background/Objectives: The main objective of the proposed work is to get the permission for accessing element through remote authentication by hiding encrypted biometric signal within image of the user. Methods/Statistical Analysis: The biometric signal is encrypted using Arnold transform algorithm and hided into the cover image with Qualified Significant Wavelet Tree (QSWT). The image of the person is denoted as cover image. The Compressed cover image gets transmitted over wireless channel for remote authentication. The Inverse Wavelet Transform is used to separate encrypted signal and the cover image. The biometric signal gets decrypted by inverse Arnold transformation algorithm. Findings: The Arnold transform algorithm increases the Normalized Cross Corelation (NCC) value for normalizing the image in order to improve the quality of reconstructed image. Hence, the Mean Square Error (MSE) is decreased and Peak Signal to Noise Ratio (PSNR) value is increased in the proposed work. And so the error is minimized in the proposed system compared to the existing techniques. The problems identified in the existing systems such as data loss, complexity and accuracy in biometric signal has been overcome by the proposed system. Application/Improvements: The proposed system can be used in military purposes for sharing confidential data. The data can be accessed over remote areas in secured maner.
Keywords: Arnold Transform Algorithm, Authentication, Biometric Signal, Remote Systems, QSWT
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