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dc.contributor.authorBakshi, S-
dc.contributor.authorMehrotra, H-
dc.contributor.authorMajhi, B-
dc.identifier.citationProceedings of the International Conference on Communication, Computing & Security 2011 (ICCCS’11). ACM, New York, NY, USA, pp. 335-338en
dc.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
dc.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
dc.format.extent797748 bytes-
dc.subjectIris Segmentationen
dc.subjectAdaptive Thresholden
dc.subjectConnected Componentsen
dc.subjectSpectrum Image and Circular Hough Transformen
dc.titleReal-time Iris Segmentation based on Image Morphologyen
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