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Fast and Accurate Pupil Isolation Based on Morphology and Active Contour

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



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


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 to segment the pupil regardless of the shape using a combination of morphological operations and snake active contour. The morphological operations are used to determine a rough boundary of the pupil region while the active contour is used to find the precise boundary. The proposed scheme is robust in finding the exact pupil boundary of non-ideal iris image. Experimental results on the CASIA version 4.0 iris databases 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: 4th International conference on Signal, Image Processing and Applications

Year of Conference: 2014

Pages: 418-420

Print publication date: 01/11/2014

Date deposited: 06/07/2015

ISSN: 2010-3719

Publisher: IACSIT


DOI: 10.7763/IJIEE.2014.V4.476

Series Title: International Journal of Information and Electronics Engineering