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Author Alvarez-Betancourt, Y. ♦ Garcia-Silvente, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Iris recognition ♦ Approximation methods ♦ Image segmentation ♦ Pragmatics ♦ Iris ♦ Eyelids ♦ Transforms
Abstract A very robust biometric for the identification of humans is Iris Recognition. In order to recognize the Iris the determination of its exact location is required. The contemporary localization approaches, although accurate, often require a very long calculation. This paper presents an Iris Location method that is both accurate and fast. The approach relies on the detection of circular boundaries under an approach of gradient analysis in points of interest of successive arcs. The quantified majority operator QMA-OWA[20] was used in order to obtain a representative value for each successive arc. The identification of the Iris circular boundary in an image portion will be given by obtaining the arc with the greatest representative value. Thus, a fast algorithm of identification of circular boundaries is obtained from an aggregation process, guided by the linguistic quantifier many. The experimentation was developed upon the image database CASIA-IrisV3.
Description Author affiliation: Department of Computer Sciences, University of Cienfuegos, Cuba (Alvarez-Betancourt, Y.) || Department of Computer Sciences and Artificial Intelligence (DECSAI), University of Granada, Spain (Garcia-Silvente, M.)
ISBN 9781424469192
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-18
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424469215
Size (in Bytes) 962.75 kB
Page Count 8
Starting Page 1
Ending Page 8


Source: IEEE Xplore Digital Library