Reliable Eyelid Localization for Iris Recognition

Authors:
Mathieu Adam;Florence Rossant;Frederic Amiel;Beata Mikovicova;Thomas Ea
Affiliations:
ISEP, Paris, France 75006;ISEP, Paris, France 75006;ISEP, Paris, France 75006;ISEP, Paris, France 75006;ISEP, Paris, France 75006
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

Citing 5
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Abstract

This article presents a new eyelid localization algorithm based on a parabolic curve fitting. To deal with eyelashes, low contrast or false detection due to iris texture, we propose a two steps algorithm. First, possible edge candidates are selected by applying an edge detection on a restricted area inside the iris. Then, a gradient maximisation is applied along every parabola, on a larger area, to refine the parameters and select the best one. Experiments have been conducted on the CASIA-IrisV3-Interval database that have been manually segmented. A new performance measure is proposed, carried out by comparing the segmented images obtained by the proposed method with the manual segmentation.