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Punidha, R.
- Remote Service Access using Biometrics
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Authors
Affiliations
1 Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 1 (2016), Pagination:Abstract
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- Tracking Dynamic Target in Wireless Sensor Networks
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Authors
Affiliations
1 Department of Information Technology, Vel Tech Multitech Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Department of Information Technology, Eloka Enterprise Private Limited, Chennai - 600020, Tamil Nadu, IN
3 Department of Computer Science and Engineering, Vel Tech Multitech Engineering College, Chennai - 600062, Tamil Nadu, IN
1 Department of Information Technology, Vel Tech Multitech Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Department of Information Technology, Eloka Enterprise Private Limited, Chennai - 600020, Tamil Nadu, IN
3 Department of Computer Science and Engineering, Vel Tech Multitech Engineering College, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 1 (2016), Pagination:Abstract
Background/Objectives: Wireless sensor network deployed over a geological area for monitoring environment and it communicates with connected nodes in the network for processing and gathering information. Methods/Statistical Analysis: This system proposes a framework for tracking, called Energy Efficient Tracking (EET), which defines the nodes of the spatial region around a target, called face. Instead of finding the target location in a face, we estimate movement of a target. Energy efficiency obtained due to tracking being performed by different clusters instead of using a faces. Findings: This system helps to reduce the energy consumption. Brink detection algorithm that enables the sensor network to be aware of target entering the face bit earlier, and to work in a timely fashion. An optimal selection algorithm is to select an appropriate sensor, which can result in having the best detection and low energy cost of transmitting data across the faces. This framework presented an efficient movement tracking system using clustering to overcome the communication latency among nodes. Application/Improvements: Energy efficiency is an important challenge in wireless sensor networks for target tracking applications. This framework proposed efficient tracking using clustering.Keywords
Brink Detection, Clustering, Energy, Optimal Selection, Spatial, Tracking- Low Complexity Hybrid Lossy to Lossless Image Coder with Combined Orthogonal Polynomials Transform and Integer Wavelet Transform
Abstract Views :148 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, IN
1 Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, IN