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Performance analysis of on Iris Detection Recognition and its Applications”

Sejal Thakkar1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1065-1068, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.10651068

Online published on Jun 30, 2018

Copyright © Sejal Thakkar . 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: Sejal Thakkar, “Performance analysis of on Iris Detection Recognition and its Applications”,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1065-1068, 2018.

MLA Style Citation: Sejal Thakkar "Performance analysis of on Iris Detection Recognition and its Applications”." International Journal of Computer Sciences and Engineering 6.6 (2018): 1065-1068.

APA Style Citation: Sejal Thakkar, (2018). Performance analysis of on Iris Detection Recognition and its Applications”. International Journal of Computer Sciences and Engineering, 6(6), 1065-1068.

BibTex Style Citation:
@article{Thakkar_2018,
author = {Sejal Thakkar},
title = {Performance analysis of on Iris Detection Recognition and its Applications”},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1065-1068},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2300},
doi = {https://doi.org/10.26438/ijcse/v6i6.10651068}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10651068}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2300
TI - Performance analysis of on Iris Detection Recognition and its Applications”
T2 - International Journal of Computer Sciences and Engineering
AU - Sejal Thakkar
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1065-1068
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

It is possible to identify an individual based on “who they are rather than what they possess or what they remember" by using biometric features like Thumb print, face, chin etc because to remember password or to take care of cards are difficult task. From all Biometrics security organs Iris is one of the most carefully protected organs in one’s body. It is not affected by aging; the feature of the iris remains fixed and stable from one year of age until death. Biometric-based solutions are able to provide for confidential financial transactions and personal data privacy there has been a lot of work carried out on face recognition using the PCA. Here I have tried to use the same concepts in detecting Irises. Here to implement iris recognition but here I have implemented iris detection from eye and recognition using PCA algorithm.

Key-Words / Index Term

Co-variance matrix, Eigenvectors, Iris Recognition, Mean image, correlation coefficients

References

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