Iterative directional ray-based iris segmentation for challenging periocular images

Authors:
Xiaofei Hu;V. Paúl Pauca;Robert Plemmons
Affiliations:
Departments of Mathematics and Computer Science, Winston-Salem;Departments of Mathematics and Computer Science, Winston-Salem;Departments of Mathematics and Computer Science, Winston-Salem
Venue:
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Year:
2011

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Abstract

The face region immediately surrounding one, or both, eyes is called the periocular region. This paper presents an iris segmentation algorithm for challenging periocular images based on a novel iterative ray detection segmentation scheme. Our goal is to convey some of the difficulties in extracting the iris structure in images of the eye characterized by variations in illumination, eye-lid and eye-lash occlusion, defocus blur, motion blur, and low resolution. Experiments on the Face and Ocular Challenge Series (FOCS) database from the U.S. National Institute of Standards and Technology (NIST) emphasize the pros and cons of the proposed segmentation algorithm.