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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1455

Title: Real-time Iris Segmentation based on Image Morphology
Authors: Bakshi, S
Mehrotra, H
Majhi, B
Keywords: Iris Segmentation
Adaptive Threshold
Connected Components
Spectrum Image and Circular Hough Transform
Issue Date: Feb-2011
Citation: Proceedings of the International Conference on Communication, Computing & Security 2011 (ICCCS’11). ACM, New York, NY, USA, pp. 335-338
Abstract: This paper introduces an efficient iris segmentation approach for unconstrained images. Proposed technique is robust to occlusion, specular reflection, variation in illumination and non-centered gaze. For pupil localisation, the input iris image is binarised using an adaptive threshold determined based on number of connected components. Further,pupil center and radius are obtained using spectrum image based approach. The proposed technique performs accurately (>97%) with low computation (<0.4 seconds/image). It has been observed that the proposed approach can be deployed to real-time biometric systems where time as well as accuracy cannot be compromised.
Description: This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2011 International Conference on Communication, Computing & Security.
URI: http://hdl.handle.net/2080/1455
ISBN: 978-1-4503-0464-1/11/02
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