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Communication Dans Un Congrès Année : 2008

Reliable Eyelid Localization for Iris Recognition

Résumé

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.
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Dates et versions

hal-02882946 , version 1 (28-08-2020)

Identifiants

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Mathieu Adam, Florence Rossant, Frédéric Amiel, Beata Mikovicova, Thomas Ea. Reliable Eyelid Localization for Iris Recognition. 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), Oct 2008, Juan les Pins, France. pp.1062-1070, ⟨10.1007/978-3-540-88458-3_96⟩. ⟨hal-02882946⟩

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