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Iris Detection Using Segmentation Techniques

Neeti Taneja1 , Mohammad Shabaz2 , Vinayak Khajuria3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 442-444, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.442444

Online published on Sep 30, 2018

Copyright © Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria, “Iris Detection Using Segmentation Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.442-444, 2018.

MLA Style Citation: Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria "Iris Detection Using Segmentation Techniques." International Journal of Computer Sciences and Engineering 6.9 (2018): 442-444.

APA Style Citation: Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria, (2018). Iris Detection Using Segmentation Techniques. International Journal of Computer Sciences and Engineering, 6(9), 442-444.

BibTex Style Citation:
@article{Taneja_2018,
author = { Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria},
title = {Iris Detection Using Segmentation Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {442-444},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2888},
doi = {https://doi.org/10.26438/ijcse/v6i9.442444}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.442444}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2888
TI - Iris Detection Using Segmentation Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Neeti Taneja, Mohammad Shabaz, Vinayak Khajuria
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 442-444
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper introduces an approach to be adopted for the detection of iris from the medical image of human eye. The microscopic image of human eye is taken which consists of number of features such as pupil, retina, iris etc. Firstly image pre-processing is done on the input image so as to remove unwanted noise from it and then various image segmentation techniques such as edge detection, Hough transform etc. are applied for the efficient identification of the inner and outer boundary of iris. To efficiently detect iris boundary, accurate evaluation of circumference of iris in the human eye is required.

Key-Words / Index Term

Segmentation,Edgedetection,Houghtransform,etc

References

[1] Navita Kamboj, Preeti Gupta,“A Review on Segmentation techniques for
Iris Recognition System”, International Journal of Engineering and
Management Research, Vol.5, pp. 14-16, 2015.
[2] Mahmoud Mahlouji and Ali Noruzi,” Human Iris Segmentation for Iris Recognition in Unconstrained Environments “, International Journal of Computer Science Issues, Vol. 9, pp.149-152, 2012.
[3] M. Karpaga Kani, Dr.T. Arumuga MariaDevi, “Iris Segmentation and Recognition System” International Journal of Advanced Research in Computer Engineering & Technology,Vol. 3, pp. 1-5, 2014.
[4] D.Anitha,M.Suganthi and P.Suresh, “Image Processing of Eye to Identify the Iris Using Edge Detection Technique based on ROI and Edge Length”, International Conference on Signal, Image Processing and Applications, Vol. 21,pp.1 -5,2011.
[5] Surjeet Singh, Kulbir Singh, “Segmentation Techniques for Iris Recognition System” ,International Journal of Scientific & Engineering Research Vol. 2, pp.1-8, 2011.
[6] Nidhi Manchanda, Oves Khan, Rishita Rehlan and Jyotika Pruthi, ”A Survey: Various Segmentation Approaches to Iris Recognition”, International Journal of Information and Computation Technology,Vol. 3,pp.419-424,2013.