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BibTex Citation Data :
@article{JOIV62,
author = {Abdulrahman Aminu Ghali and Sapiee Jamel and Kamaruddin Malik Mohamad and Nasir Abubakar Yakub and Mustafa Mat Deris},
title = {A Review of Iris Recognition Algorithms},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {1},
number = {4-2},
year = {2017},
keywords = {iris recognition; segmentation; normalization; feature extraction; matching.},
abstract = {With the prominent needs for security and reliable mode of identification in biometric system. Iris recognition has become reliable method for personal identification nowadays. The system has been used for years in many commercial and government applications that allow access control in places such as office, laboratory, armoury, automated teller machines (ATMs), and border control in airport. The aim of the paper is to review iris recognition algorithms. Iris recognition system consists of four main stages which are segmentation, normalization, feature extraction and matching. Based on the findings, the Hough transform, rubber sheet model, wavelet, Gabor filter, and hamming distance are the most common used algorithms in iris recognition stages. This shows that, the algorithms have the potential and capability to enhanced iris recognition system. },
issn = {2549-9904}, pages = {175--178}, doi = {10.30630/joiv.1.4-2.62},
url = {http://joiv.org/index.php/joiv/article/view/62}
}
Refworks Citation Data :
@article{{JOIV}{62}, author = {Ghali, A., Jamel, S., Mohamad, K., Yakub, N., Mat Deris, M.}, title = {A Review of Iris Recognition Algorithms}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {1}, number = {4-2}, year = {2017}, doi = {10.30630/joiv.1.4-2.62}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Society of Visual Informatocs, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.