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Information Technology Journal

Year: 2010 | Volume: 9 | Issue: 8 | Page No.: 1653-1658
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Authors

Ann A. Jarjes

Kuanquan Wang

Ghassan J. Mohammed

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Research Article

GVF Snake-based Method for Accurate Pupil Contour Detection

Ann A. Jarjes, Kuanquan Wang and Ghassan J. Mohammed
Accurate pupil contour detection plays an important role in iris recognition systems. This study presents a new algorithm for precise pupil segmentation based on Gradient Vector Flow (GVF) snake and the Angular Integral Projection Function (AIPF) and the proposed method has four stages. In the first stage, the iris image is filtered and smoothed. Secondly, the pupil center is estimated as the center of mass of the binarized iris image. Then, the circular pupil boundary is localized by applying the AIPF followed by circle fitting. In the final stage, the precise pupil contour is detected using GVF snake initialized on the detected circular pupil boundary. Experimental results obtained by applying the proposed algorithm on CASIA V3.0 iris image database, demonstrate that the presented method has improved both the accuracy and speed of iris localization.
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