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An Efficient Implementation of Iris Recognition and Cryptography in Internet Security System

Published on May 2013 by Kalyan Chatterjee, Nilotpal Mrinal, Prasannjit
Recent Trends in Pattern Recognition and Image Analysis
Foundation of Computer Science USA
RTPRIA - Number 1
May 2013
Authors: Kalyan Chatterjee, Nilotpal Mrinal, Prasannjit

Kalyan Chatterjee, Nilotpal Mrinal, Prasannjit . An Efficient Implementation of Iris Recognition and Cryptography in Internet Security System. Recent Trends in Pattern Recognition and Image Analysis. RTPRIA, 1 (May 2013), 46-50.

author = { Kalyan Chatterjee, Nilotpal Mrinal, Prasannjit },
title = { An Efficient Implementation of Iris Recognition and Cryptography in Internet Security System },
journal = { Recent Trends in Pattern Recognition and Image Analysis },
issue_date = { May 2013 },
volume = { RTPRIA },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 46-50 },
numpages = 5,
url = { /specialissues/rtpria/number1/11802-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Special Issue Article
%1 Recent Trends in Pattern Recognition and Image Analysis
%A Kalyan Chatterjee
%A Nilotpal Mrinal
%A Prasannjit
%T An Efficient Implementation of Iris Recognition and Cryptography in Internet Security System
%J Recent Trends in Pattern Recognition and Image Analysis
%@ 0975-8887
%N 1
%P 46-50
%D 2013
%I International Journal of Computer Applications

Internet is one of the most popular communication channels but it is insecure. Since it is an open and insecure medium, malicious medium can intercept the program or data. In the present scenario, fast growth in online application results in data security problem. In order to get secure internet, users need secure communication method for sending secret messages and data through internet. In this paper, we have developed an efficient way to provide a secure internet using Iris Recognition and Cryptography. The Iris Recognition system consists of an automatic segmentation that is based on Hough Transform. The Hamming Distance is employed for classification of Iris template. Thus this paper can be implemented in any real time application.

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Index Terms

Computer Science
Information Sciences


Biometric Authentication internet Security Iris Cryptography Segmentation Hamming Distance