A novel and efficient feedback method for pupil and iris localization

Authors:
Muhammad Talal Ibrahim;Tariq Mehmood;M. Aurangzeb Khan;Ling Guan
Affiliations:
Ryerson Multimedia Research Lab, Ryerson University, Toronto, Canada;Dept. of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan;Dept. of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan;Ryerson Multimedia Research Lab, Ryerson University, Toronto, Canada
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Year:
2011

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Abstract

This paper presents a novel method for the automatic pupil and iris localization. The proposed algorithm is based on an automatic adaptive thresholding method that iteratively looks for a region that has the highest chances of enclosing the pupil. Once the pupil is localized, next step is to find the boundary of iris based on the first derivative of each row of the area within the pupil. We have tested our proposed algorithm on two public databases namely: CASIA v1.0 and MMU v1.0 and experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil.