About: Human eye iris recognition using the mutual information

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This article presents the new biometric electro-optical measuring method supported by PC for identification of a person by its eye iris image recognition. The aim of this approach is to show the ability of mutual information to such recognition. Couples of the comparative human iris images were geometrically aligned by maximization of their mutual information and subsequently recognized. The mutual information was estimated using the efficient algorithm proposed by G. A. Darbellay and I.Vajda. The decision whether two compared iris images belong to the same eye depends on the chosen threshold of the mutual information. Only a simple preprocessing of the iris images is needed to acquire their characteristic geometric parameters before the recognition is performed. The investigations carried out showed the correct (successful) personal identification better than 99%. This article presents the new biometric electro-optical measuring method supported by PC for identification of a person by its eye iris image recognition. The aim of this approach is to show the ability of mutual information to such recognition. Couples of the comparative human iris images were geometrically aligned by maximization of their mutual information and subsequently recognized. The mutual information was estimated using the efficient algorithm proposed by G. A. Darbellay and I.Vajda. The decision whether two compared iris images belong to the same eye depends on the chosen threshold of the mutual information. Only a simple preprocessing of the iris images is needed to acquire their characteristic geometric parameters before the recognition is performed. The investigations carried out showed the correct (successful) personal identification better than 99%. (en)
Title	Human eye iris recognition using the mutual information Human eye iris recognition using the mutual information (en)
skos:prefLabel	Human eye iris recognition using the mutual information Human eye iris recognition using the mutual information (en)
skos:notation	RIV/61989592:15310/04:00010965!RIV10-MSM-15310___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(AV0Z1075907), Z(MSM 153100007)
http://linked.open...iv/cisloPeriodika	9
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Dobeš, Michal Machala, Libor Pospíšil, Jaroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Palackého v Olomouci / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	566851
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/04:00010965
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	human eye iris recognition; personal identification; mutual information (en)
http://linked.open.../riv/klicoveSlovo	human eye iris recognition mutual information personal identification
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[01610E6BC631]
http://linked.open...i/riv/nazevZdroje	Optik
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...v/svazekPeriodika	115
http://linked.open...iv/tvurceVysledku	Tichavský, P. Machala, Libor Pospíšil, Jaroslav Dobeš, Michal
http://linked.open...n/vavai/riv/zamer	Uncertainty methods in theoretical cybernetics: system identification, information processing, decision-making, and control http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20153100007
issn	0030-4026
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	15310

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