Iris Segmentation
The quality of eye image data become degraded particularly when the image is taken in the non-cooperative acquisition environment such as under visible wavelength illumination. Consequently, this environmental condition may lead to noisy eye images, incorrect localization of limbic and pupillary bou...
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| Format: | Article |
| Language: | English |
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Science Publishing Corporation
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/2/Iris%20Segmentation.pdf |
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ump-25300 |
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| recordtype |
eprints |
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ump-253002019-12-09T04:33:47Z http://umpir.ump.edu.my/id/eprint/25300/ Iris Segmentation Anis Farihan, Mat Raffei Rohayanti, Hassan Shahreen, Kasim Hishamudin, Asmuni Asraful Syifaa, Ahmad Rahmat, Hidayat Ansari Saleh, Ahmar QA75 Electronic computers. Computer science The quality of eye image data become degraded particularly when the image is taken in the non-cooperative acquisition environment such as under visible wavelength illumination. Consequently, this environmental condition may lead to noisy eye images, incorrect localization of limbic and pupillary boundaries and eventually degrade the performance of iris recognition system. Hence, this study has compared several segmentation methods to address the abovementioned issues. The results show that Circular Hough transform method is the best segmentation method with the best overall accuracy, error rate and decidability index that more tolerant to ‘noise’ such as reflection. Science Publishing Corporation 2018-03 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25300/2/Iris%20Segmentation.pdf Anis Farihan, Mat Raffei and Rohayanti, Hassan and Shahreen, Kasim and Hishamudin, Asmuni and Asraful Syifaa, Ahmad and Rahmat, Hidayat and Ansari Saleh, Ahmar (2018) Iris Segmentation. International Journal of Engineering & Technology, 7 (2.5). pp. 77-83. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i2.5.13956 http://dx.doi.org/10.14419/ijet.v7i2.5.13956 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA75 Electronic computers. Computer science |
| spellingShingle |
QA75 Electronic computers. Computer science Anis Farihan, Mat Raffei Rohayanti, Hassan Shahreen, Kasim Hishamudin, Asmuni Asraful Syifaa, Ahmad Rahmat, Hidayat Ansari Saleh, Ahmar Iris Segmentation |
| description |
The quality of eye image data become degraded particularly when the image is taken in the non-cooperative acquisition environment such as under visible wavelength illumination. Consequently, this environmental condition may lead to noisy eye images, incorrect localization of limbic and pupillary boundaries and eventually degrade the performance of iris recognition system. Hence, this study has compared several segmentation methods to address the abovementioned issues. The results show that Circular Hough transform method is the best segmentation method with the best overall accuracy, error rate and decidability index that more tolerant to ‘noise’ such as reflection. |
| format |
Article |
| author |
Anis Farihan, Mat Raffei Rohayanti, Hassan Shahreen, Kasim Hishamudin, Asmuni Asraful Syifaa, Ahmad Rahmat, Hidayat Ansari Saleh, Ahmar |
| author_facet |
Anis Farihan, Mat Raffei Rohayanti, Hassan Shahreen, Kasim Hishamudin, Asmuni Asraful Syifaa, Ahmad Rahmat, Hidayat Ansari Saleh, Ahmar |
| author_sort |
Anis Farihan, Mat Raffei |
| title |
Iris Segmentation |
| title_short |
Iris Segmentation |
| title_full |
Iris Segmentation |
| title_fullStr |
Iris Segmentation |
| title_full_unstemmed |
Iris Segmentation |
| title_sort |
iris segmentation |
| publisher |
Science Publishing Corporation |
| publishDate |
2018 |
| url |
http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/ http://umpir.ump.edu.my/id/eprint/25300/2/Iris%20Segmentation.pdf |
| first_indexed |
2023-09-18T22:38:46Z |
| last_indexed |
2023-09-18T22:38:46Z |
| _version_ |
1777416774103334912 |