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A novel method for low-constrained iris boundary localization

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Paper ICB 2012 (261,4Kb)
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hdl:2117/18032

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Fernández, Carles
Pérez, Dídac
Segura, Carlos
Hernando Pericás, Francisco JavierMés informacióMés informacióMés informació
Document typeConference lecture
Defense date2012
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Iris recognition systems are strongly dependent on their segmentation processes, which have traditionally assumed rigid experimental constraints to achieve good performance, but now move towards less constrained environments. This work presents a novel method on iris segmentation that covers the localization of the pupillary and limbic iris boundaries. The method consists of an energy minimization procedure posed as a multilabel one-directional graph, followed by a model fitting process and the use of physiological priors. Accurate segmentations are achieved even in the presence of lutter, lenses, glasses, motion blur,and variable illumination. The contributions of this paper are a fast and reliable method for the accurate localizationof the iris boundaries in low-constrained conditions, and a novel database for iris segmentation incorporating challenging iris images, which has been publicly released to the research community. The proposed method has been evaluated over three different databases, showing higher performance in comparison to traditional techniques.
CitationFernández, C. [et al.]. A novel method for low-constrained iris boundary localization. A: IAPR International Conference on Biometrics. "The 5th IAPR International Conference on Biometrics". Nueva Delhi: 2012, p. 1-6. 
URIhttp://hdl.handle.net/2117/18032
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