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Iris Edge Detection with Bit-Plane Slicing Technique

Published on February 2014 by Kavita Khobragade, K. V. Kale
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National Conference on Recent Advances in Information Technology
Foundation of Computer Science USA
NCRAIT - Number 2
February 2014
Authors: Kavita Khobragade, K. V. Kale
174f5754-77ce-4d93-91c0-0b730a0f3898

Kavita Khobragade, K. V. Kale . Iris Edge Detection with Bit-Plane Slicing Technique. National Conference on Recent Advances in Information Technology. NCRAIT, 2 (February 2014), 27-31.

@article{
author = { Kavita Khobragade, K. V. Kale },
title = { Iris Edge Detection with Bit-Plane Slicing Technique },
journal = { National Conference on Recent Advances in Information Technology },
issue_date = { February 2014 },
volume = { NCRAIT },
number = { 2 },
month = { February },
year = { 2014 },
issn = 0975-8887,
pages = { 27-31 },
numpages = 5,
url = { /proceedings/ncrait/number2/15148-1415/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Advances in Information Technology
%A Kavita Khobragade
%A K. V. Kale
%T Iris Edge Detection with Bit-Plane Slicing Technique
%J National Conference on Recent Advances in Information Technology
%@ 0975-8887
%V NCRAIT
%N 2
%P 27-31
%D 2014
%I International Journal of Computer Applications
Abstract

Today's emerging trend in security systems demands for more authenticate, reliable and fast algorithms to implement biometric system. To deal with the security, physical characteristics like face, iris, fingerprint, etc and behavioral characteristics like DNA, signature, voice etc. , plays an important role than personal identification number (PIN) and passwords. The human physical and behavioral characteristics are the biometrics traits used to achieve security. In this busy world, the identification and / or verification should be fast and efficient. This paper provides the study of iris edge detection using bit plane slicing techniques which helps to extract edges as better iris features and get the better recognition results. It has been observed that Canny's edge detection is computationally more expensive but gives better results. The technique has been tested on CASIA V 1 and it has been observed that the fifth bit plane iris image is better image for feature extraction with Canny Edge Detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Security Biometrics Biometric Authentication Iris Recognition Canny Edge Detection Bit-plane Slicing