Universiti Teknologi Malaysia Institutional Repository

Iris boundary detection using a novel algorithm

Saad, Puteh and Shamsi, Mahboubeh and Ibrahim, Subariah and Rasouli, Abdolreza (2010) Iris boundary detection using a novel algorithm. In: WSEAS International Conferences, 23-25 Mac 2010, Batu Ferringghi, P. Pinang.

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Abstract

One of the difficult tasks in iris recognition is to detect the boundary between the iris region and the pupil region. This is due to the low texture contrast between them. In order to capture the degree of texture contrast between iris region and pupil region, we propose a novel algorithm that hybrid a difference function with a factor matrix. Experiments show that this algorithm can detect the boundary between iris region and pupil region accurately. Based on this algorithm, the percentage of successful segmentation is 99.34%.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Duagman’s method, average square shrinking, difference function, contour factor matrix
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:24056
Deposited By: Liza Porijo
Deposited On:24 Sep 2012 05:25
Last Modified:24 Sep 2012 05:25

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