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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Science Publishing Corporation Inc.
2018
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| Online Access: | http://eprints.uthm.edu.my/4699/ |
| _version_ | 1848888356991139840 |
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| author | Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni,, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh |
| author_facet | Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni,, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh |
| author_sort | Mat Raffei, Anis Farihan |
| building | UTHM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:08:59Z |
| format | Article |
| id | uthm-4699 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:08:59Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-46992021-12-14T08:24:07Z http://eprints.uthm.edu.my/4699/ Iris segmentation Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni,, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh T Technology (General) TK7800-8360 Electronics 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 Inc. 2018 Article PeerReviewed Mat Raffei, Anis Farihan and Hassan, Rohayanti and Kasim, Shahreen and Asmuni,, Hishamudin and Ahmad, Asraful Syifaa’ and Hidayat, Rahmat and Ahmar, Ansari Saleh (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 |
| spellingShingle | T Technology (General) TK7800-8360 Electronics Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni,, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh Iris segmentation |
| title | Iris segmentation |
| title_full | Iris segmentation |
| title_fullStr | Iris segmentation |
| title_full_unstemmed | Iris segmentation |
| title_short | Iris segmentation |
| title_sort | iris segmentation |
| topic | T Technology (General) TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/4699/ http://eprints.uthm.edu.my/4699/ |