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Proceedings Paper

Automatic segmentation of pupil using local histogram and standard deviation
Author(s): Muhammad Talal Ibrahim; Tariq M. Khan; M. Aurangzeb Khan; Ling Guan
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Paper 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.

Paper Details

Date Published: 5 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442S (5 August 2010); doi: 10.1117/12.863264
Show Author Affiliations
Muhammad Talal Ibrahim, Ryerson Univ. (Canada)
Tariq M. Khan, COMSATS Institute of Information Technology (Pakistan)
M. Aurangzeb Khan, COMSATS Institute of Information Technology (Pakistan)
Ling Guan, Ryerson Univ. (Canada)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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