Iris localisation and extraction algorithm from an eye image

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084761" target="_blank" >RIV/61989100:27240/12:86084761 - isvavai.cz</a>

Výsledek na webu

<a href="http://inderscience.metapress.com/content/n2r81n5w12030518" target="_blank" >http://inderscience.metapress.com/content/n2r81n5w12030518</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJSISE.2012.047799" target="_blank" >10.1504/IJSISE.2012.047799</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Iris localisation and extraction algorithm from an eye image

Popis výsledku v původním jazyce

In this paper, we focus on common approaches in the area of eye and iris localisation. We describe in detail a new method for detecting iris in digital images. Our method is simple yet effective and estimation of the two circular boundaries is based on curve fitting and cost function maximisation. When we are searching for limbic boundary, we use the inverse gradient and star-like sampling scheme. Rather, an analytical approach is used during detection of pupillary boundary. We define the cost functionreflecting the properties of brightness distribution in the pupil region. Our algorithm can be described in three simple steps; at first, we detect the bright point inside the pupil; at second, outer limbic boundary is found via statistical measurementsof outer boundary points; and at third, inner boundary points are searched by means of defined cost function maximisation.

Název v anglickém jazyce

Iris localisation and extraction algorithm from an eye image

Popis výsledku anglicky

In this paper, we focus on common approaches in the area of eye and iris localisation. We describe in detail a new method for detecting iris in digital images. Our method is simple yet effective and estimation of the two circular boundaries is based on curve fitting and cost function maximisation. When we are searching for limbic boundary, we use the inverse gradient and star-like sampling scheme. Rather, an analytical approach is used during detection of pupillary boundary. We define the cost functionreflecting the properties of brightness distribution in the pupil region. Our algorithm can be described in three simple steps; at first, we detect the bright point inside the pupil; at second, outer limbic boundary is found via statistical measurementsof outer boundary points; and at third, inner boundary points are searched by means of defined cost function maximisation.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Signal and Imaging Systems Engineering

ISSN

1748-0698

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

9

Strana od-do

69-77

Kód UT WoS článku

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EID výsledku v databázi Scopus

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