Fast and accurate method for complete iris segmentation with active contour and morphology

Abdullah, Mohammed, Dlay, Satnam and Woo, Wai Lok (2014) Fast and accurate method for complete iris segmentation with active contour and morphology. In: 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. IEEE, pp. 123-128. ISBN 978-1-4799-5220-5

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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.

Item Type: Book Section
Uncontrolled Keywords: biometrics identification, image segmentation, iris recognition, morphological operations, active contour
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 11 Apr 2019 14:28
Last Modified: 10 Oct 2019 20:04

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