A dynamic non-circular iris localization technique for non-ideal data

• Robust iris inner contour localization within a sliding window.
• A fast and reliable technique for the iris outer contour localization.
• Iris contours regularization.
• Tolerance to rotated-iris images, specular reflections, hair, eyelids, and glasses.
• Applicable in real-time applications.

Iris localization plays a decisive role in the overall iris biometric system’s performance, because it isolates the valid part of iris. This study proposes a reliable iris localization technique. It includes the following. First, it extracts the iris inner contour within a sliding-window in an eye image using a multi-valued adaptive threshold and the two-dimensional (2D) properties of binary objects. Then, it localizes the iris outer contour using an edge-detecting operator in a sub image centered at the pupil center. Finally, it regularizes the iris contours to compensate for their non-circular structure. The proposed technique is tested on the following public iris databases: CASA V1.0, CASIA-Iris-Lamp, IITD V1.0, and the MMU V1.0. The experimental and accuracy results of the proposed scheme compared with other state-of-the-art techniques endorse its satisfactory performance.

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