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Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition

by Amit Madhukar Wagh, Satish R Todmal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 3
Year of Publication: 2015
Authors: Amit Madhukar Wagh, Satish R Todmal
10.5120/19647-1239

Amit Madhukar Wagh, Satish R Todmal . Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition. International Journal of Computer Applications. 112, 3 ( February 2015), 28-31. DOI=10.5120/19647-1239

@article{ 10.5120/19647-1239,
author = { Amit Madhukar Wagh, Satish R Todmal },
title = { Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 3 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number3/19647-1239/ },
doi = { 10.5120/19647-1239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:28.633227+05:30
%A Amit Madhukar Wagh
%A Satish R Todmal
%T Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 3
%P 28-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The biometric system is based on human's behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person's life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the eye. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids, eyelashes detection technique and Hough transform method applied on iris image. Generally, eyelids and eyelashes are noise factors in the iris image. To increase the accuracy of the system we must have to remove these factors from the iris image. Eyelashes detection algorithm can be used for detecting eyelids and eyelashes. To improve the overall performance of the iris recognition system, we can use canny edge detection algorithm [12]. Then, Hough Transform can be applied on these images to identify the circles of specific radii and lines on iris image [14].

References
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  12. John Canny. , A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, PAMI-8(6):679–698, Nov. 1986.
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  14. http://www. wikipedia. com/
  15. Simon Just Kjeldgaard Pedersen, "Circular Hough Transform", Aalborg University, Vision, Graphics, and Interactive Systems, November 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Iris IIT Delhi Iris Database Noise Removal Canny Edge Detection Hough Transform.

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