Abstract:
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Iris segmentation is the most determining factor in iris biometrics,
which has traditionally assumed rigid constrained environments. In this work, a
novel method that covers the localization of the pupillaty and limbic iris bound-
aries is proposed. The algorithm consists of an energy minimization procedure
posed as a multilabel one-directional graph and the use of physiological priors,
achieving accurate segmentations even in the presence of clutter, lenses, glasses,
motion blur, and variable illumination. The contributions of this paper are a fast
and reliable method for the accurate localization of the iris boundaries in low-
constrained conditions, which has been evaluated over two public databases, and
a new database for iris segmentation incorporating challenging iris images, which
has been publicly released to the research community |