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Automatic segmentation of pupil using local histogram and standard deviation

journal contribution
posted on 2023-01-31, 23:03 authored by M T Ibrahim, Tariq Khan, M A Khan, L Guan
This paper presents a novel approach for automatic pupil segmentation. The proposed algorithm uses local histogram and standard deviation based adaptive thresholding method that looks for the region that has the highest probability of having the pupil. We have tested our proposed algorithm on two public databases namely: CASIA v1.0 and MMU v1.0. Experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil. © 2010 SPIE.

History

Journal

Proceedings of SPIE - The International Society for Optical Engineering

Volume

7744

ISSN

0277-786X

ISBN-13

9780819482341

Publication classification

CN.1 Other journal article