Robust iris segmentation on uncalibrated noisy images using mathematical morphology

Authors:
Miguel A. Luengo-Oroz;Emmanuel Faure;Jesús Angulo
Affiliations:
Biomedical Image Technologies Lab of ETSI Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense SN, 28040 Madrid, Spain and Complex Systems Institute of Paris, ISC-PIF, 57 ...;Centre de Recherche en Epistémologie Applique, CNRS - ícole Polytechnique, 1 rue Descartes, 75005 Paris, France and Complex Systems Institute of Paris, ISC-PIF, 57-59 rue Lhomond, 75005 ...;Centre de Morphologie Mathématique, Mathématiques et Systèmes, MINES Paristech, 35 rue Saint Honoré, 77300 Fontainebleau, France
Venue:
Image and Vision Computing
Year:
2010

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Abstract

This paper proposes a new approach for fast iris segmentation that relies on the closed nested structures of iris anatomy (the sclera is brighter than the iris, and the iris is brighter than the pupil) and on its polar symmetry. The described method applies mathematical morphology for polar/radial-invariant image filtering and for circular segmentation using shortest paths from generalized grey-level distances. The proposed algorithm obtained good results on the NICE-I contest and showed a very robust behavior, especially when dealing with half-closed eyes, different skin colours/illumination or subjects wearing glasses.