| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 455350 | Computers & Electrical Engineering | 2014 | 12 Pages |
•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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