Remote Service Access using Biometrics

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.