Automatic segmentation of pupil using local histogram and standard deviation
Muhammad Ibrahim, Tariq Mahmood Khan, M. Aurangzeb Khan, Ling Guan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.