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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Ibrahim, M. T., Mehmood, T., Khan, M. A., & Guan, L. (2011). A novel and efficient feedback method for pupil and iris localization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6754 LNCS, pp. 79–88). https://doi.org/10.1007/978-3-642-21596-4_9
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
