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Iris segmentation and normalization approach

Shamsi, Mahboubeh and Saad, Puteh and Rasouli, Abdolreza (2008) Iris segmentation and normalization approach. Jurnal Teknologi Maklumat, 20 (3). pp. 88-101. ISSN 0128-3790

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Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several other uncontrolled factors. In this work, we enhanced Daugman method to locate the iris and normalized it from polar to Cartesian coordinate. Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. The percentage detection on MMU iris database is 99% and that of CASIA is 98%. Our approach is feasible to produce an iris template for identity identification and biometric watermarking application.

Item Type:Article
Additional Information:Special issue in computer science
Uncontrolled Keywords:iris recognition, biometric identification, recognition, normalization, automatic segmentation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:11006
Deposited By: Zalinda Shuratman
Deposited On:19 Nov 2010 02:32
Last Modified:01 Nov 2017 04:17

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