Automatic segmentation of pupil using local histogram and standard deviation

Muhammad Talal Ibrahim; Tariq M. Khan; M. Aurangzeb Khan; Ling Guan

doi:10.1117/12.863264

4 August 2010 Automatic segmentation of pupil using local histogram and standard deviation

Muhammad Talal Ibrahim, Tariq M. Khan, M. Aurangzeb Khan, Ling Guan

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77442S (2010) https://doi.org/10.1117/12.863264
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

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.

Citation Download Citation

Muhammad Talal Ibrahim, Tariq M. Khan, M. Aurangzeb Khan, and Ling Guan "Automatic segmentation of pupil using local histogram and standard deviation", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442S (4 August 2010); https://doi.org/10.1117/12.863264

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