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Fast and Accurate Method for Complete Iris Segmentation with Active Contour and Morphology

Lookup NU author(s): Mohammed Abdullah, Emeritus Professor Satnam Dlay, Dr Wai Lok Woo

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Abstract

The performance of iris recognition systems is significantly affected by the segmentation accuracy, especially in non-ideal iris images. This paper proposes a fast and accurate method for segmenting the iris using a combination of morphological operations and Chan-Vese active contour model. The morphological operations are used to determine a rough boundary of the iris region while the active contour is used to find the precise boundary. The proposed scheme is robust in finding the exact iris boundary and isolating the eyelids and the eyelashes of the iris images. Experimental results on the CASIA version 4.0 iris database have indicated a high level of accuracy using the proposed technique.


Publication metadata

Author(s): Abdullah MAM, Dlay SS, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2014 IEEE International Conference on Imaging Systems and Techniques (IST)

Year of Conference: 2014

Pages: 123-128

Online publication date: 20/11/2014

Acceptance date: 01/01/1900

Publisher: IEEE

URL: http://dx.doi.org/10.1109/IST.2014.6958458

DOI: 10.1109/IST.2014.6958458

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479952205


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