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 local-ization of limbic and pupillary bo...
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International Journal of Engineering & Technology
2018
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| Online Access: | http://eprints.utm.my/id/eprint/81926/ http://dx.doi.org/10.14419/ijet.v7i2.5.13956 |
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my.utm.819262019-09-30T13:04:50Z http://eprints.utm.my/id/eprint/81926/ Iris segmentation Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh 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 local-ization of limbic and pupillary boundaries and eventually degrade the performance of iris recognition system. Hence, this study has com-pared 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. International Journal of Engineering & Technology 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 and Technology (UAE), 7 . pp. 77-83. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i2.5.13956 DOI: 10.14419/ijet.v7i2.5.13956 |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Mat Raffei, Anis Farihan Hassan, Rohayanti Kasim, Shahreen Asmuni, Hishamudin Ahmad, Asraful Syifaa’ Hidayat, Rahmat Ahmar, Ansari Saleh 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 local-ization of limbic and pupillary boundaries and eventually degrade the performance of iris recognition system. Hence, this study has com-pared 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 |
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 |
| 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 |
International Journal of Engineering & Technology |
| publishDate |
2018 |
| url |
http://eprints.utm.my/id/eprint/81926/ http://dx.doi.org/10.14419/ijet.v7i2.5.13956 |
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1651866381117816832 |
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13.211869 |