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
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Official URL: http://dx.doi.org/10.14419/ijet.v7i2.5.13956
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | iris recognition, iris Segmentation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 81926 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 30 Sep 2019 13:04 |
| Last Modified: | 30 Sep 2019 13:04 |
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