Noisy Iris Segmentation with Reflections Removal Using Probable Boundary Edge Detector

Abstract:

Iris segmentation plays an important role in iris recognition system. Most of segmentation methods are affected by reflection spots, eyelash and eyelid etc. The goal of this work is to accurately segment the iris using Probable boundary (Pb) edge detector after horizontal-vertical weighted reflections removal. Experimental results on the challenging iris image database CASIA-Iris-Thousand with reflection spots sample demonstrate that the iris segmentation accuracy of the proposed methods outperforms state-of-the-art methods.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 1116-1121
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.1116
• Online since: November 2012
• Authors: Min Wang, Ning Wang, Xiao Gui Yao
• Keywords: Iris Segmentation, Noisy, Probable Boundary, Reflections Removal

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