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, de-focus 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.
This work was sponsored under IARPA BAA 09-02 through the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF10-2-0013. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of IARPA, the Army Research Laboratory, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
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Hu, X., Pauca, V.P., Plemmons, R. (2011). Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_12
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DOI: https://doi.org/10.1007/978-3-642-25449-9_12
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