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Iris Segmentation

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

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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 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: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Anis Farihan Mat Raffei
Date Deposited: 09 Dec 2019 04:33
Last Modified: 09 Dec 2019 04:33
URI: http://umpir.ump.edu.my/id/eprint/25300
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