A survey of iris recognition system
Link to publisher's homepage at http://journal.utem.edu.my
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| 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 |
13.222552 |