Iris segmentation

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

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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.

Item Type: Article
Uncontrolled Keywords: Iris recognition; Iris Segmentation
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: UiTM Student Praktikal
Date Deposited: 14 Dec 2021 08:24
Last Modified: 14 Dec 2021 08:24

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