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A Survey on Iris Recognition System

Prabhat Kumar1 , Manish Ahirwar2 , Anjna Deen3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 302-307, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.302307

Online published on Jul 31, 2019

Copyright © Prabhat Kumar, Manish Ahirwar, Anjna Deen . 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: Prabhat Kumar, Manish Ahirwar, Anjna Deen, “A Survey on Iris Recognition System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.302-307, 2019.

MLA Style Citation: Prabhat Kumar, Manish Ahirwar, Anjna Deen "A Survey on Iris Recognition System." International Journal of Computer Sciences and Engineering 7.7 (2019): 302-307.

APA Style Citation: Prabhat Kumar, Manish Ahirwar, Anjna Deen, (2019). A Survey on Iris Recognition System. International Journal of Computer Sciences and Engineering, 7(7), 302-307.

BibTex Style Citation:
@article{Kumar_2019,
author = {Prabhat Kumar, Manish Ahirwar, Anjna Deen},
title = {A Survey on Iris Recognition System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {302-307},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4765},
doi = {https://doi.org/10.26438/ijcse/v7i7.302307}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.302307}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4765
TI - A Survey on Iris Recognition System
T2 - International Journal of Computer Sciences and Engineering
AU - Prabhat Kumar, Manish Ahirwar, Anjna Deen
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 302-307
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

Biometric identification makes utilization of physical and behavioral traits to recognize an individual. It really is currently a measurable physical feature which is believed far very much reliable and safer than passwords. It authenticates secure access and helps in gaining access to data through fingerprints or DNA which are the biological information of human beings. Many biometric systems have recently been developed and so are being utilized to authenticate the individual identity. Iris recognition systems are being used broadly and have became efficient at individual recognition with high precision and practically perfect coordination. The features extracted from iris of both eye of the same person varies, this helps it to be more secured method of authentication in comparison to other biometric systems. This paper offers a review of different methods and algorithms utilized by different experts and their undertake performance of iris recognition system along with identification of gap for potential work.

Key-Words / Index Term

Biometric Authentication; Iris recognition system; Iris database; Iris recognition review; segmentation; feature extraction; normalization; localization; matching

References

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