A survey of iris recognition system

Link to publisher's homepage at http://journal.utem.edu.my

Saved in:
Bibliographic Details
Main Authors: Ayu Fitrie Haziqah, Sallehuddin, Muhammad Imran, Ahmad, Ruzelita, Ngadiran, Mohd Nazrin, Md Isa
Other Authors: m.imran@unimap.edu.my
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2019
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63563
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-63563
record_format dspace
spelling my.unimap-635632019-12-03T04:28:30Z A survey of iris recognition system Ayu Fitrie Haziqah, Sallehuddin Muhammad Imran, Ahmad Ruzelita, Ngadiran Mohd Nazrin, Md Isa m.imran@unimap.edu.my Biometric system Iris recognition Information fusion Link to publisher's homepage at http://journal.utem.edu.my The uniqueness of iris texture makes it one of the reliable physiological biometric traits compare to the other biometric traits. In this paper, we investigate a different level of fusion approach in iris image. Although, a number of iris recognition methods has been proposed in recent years, however most of them focus on the feature extraction and classification method. Less number of method focuses on the information fusion of iris images. Fusion is believed to produce a better discrimination power in the feature space, thus we conduct an analysis to investigate which fusion level is able to produce the best result for iris recognition system. Experimental analysis using CASIA dataset shows feature level fusion produce 99% recognition accuracy. The verification analysis shows the best result is GAR = 95% at the FRR = 0.1%. 2019-12-03T04:23:24Z 2019-12-03T04:23:24Z 2016 Article Journal of Telecommunication, Electronic and Computer Engineering, vol.8(4), 2016, 133-138 2180–1843 2289-8131 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63563 journal.utem.edu.my/index.php/jtec/article/view/1188 en Universiti Teknikal Malaysia Melaka
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biometric system
Iris recognition
Information fusion
spellingShingle Biometric system
Iris recognition
Information fusion
Ayu Fitrie Haziqah, Sallehuddin
Muhammad Imran, Ahmad
Ruzelita, Ngadiran
Mohd Nazrin, Md Isa
A survey of iris recognition system
description Link to publisher's homepage at http://journal.utem.edu.my
author2 m.imran@unimap.edu.my
author_facet m.imran@unimap.edu.my
Ayu Fitrie Haziqah, Sallehuddin
Muhammad Imran, Ahmad
Ruzelita, Ngadiran
Mohd Nazrin, Md Isa
format Article
author Ayu Fitrie Haziqah, Sallehuddin
Muhammad Imran, Ahmad
Ruzelita, Ngadiran
Mohd Nazrin, Md Isa
author_sort Ayu Fitrie Haziqah, Sallehuddin
title A survey of iris recognition system
title_short A survey of iris recognition system
title_full A survey of iris recognition system
title_fullStr A survey of iris recognition system
title_full_unstemmed A survey of iris recognition system
title_sort survey of iris recognition system
publisher Universiti Teknikal Malaysia Melaka
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63563
_version_ 1654961443169107968
score 13.214268