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

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contributor.authorBakshi, S-
contributor.authorMehrotra, H-
contributor.authorMajhi, B-
date.accessioned2011-05-23T10:40:28Z-
date.available2011-05-23T10:40:28Z-
date.issued2011-02-
identifier.citationProceedings of the International Conference on Communication, Computing & Security 2011 (ICCCS’11). ACM, New York, NY, USA, pp. 335-338en
identifier.isbn978-1-4503-0464-1/11/02en
identifier.urihttp://hdl.handle.net/2080/1455-
descriptionThis 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.en
description.abstractThis 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.en
format.extent797748 bytes-
format.mimetypeapplication/pdf-
language.isoen-
subjectIris Segmentationen
subjectAdaptive Thresholden
subjectConnected Componentsen
subjectSpectrum Image and Circular Hough Transformen
titleReal-time Iris Segmentation based on Image Morphologyen
typeArticleen
Appears in Collections:Conference Papers

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