Human Recognition by 3D Hand Geometry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96021" target="_blank" >RIV/00216305:26230/11:PU96021 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Human Recognition by 3D Hand Geometry

Popis výsledku v původním jazyce

The hand recognition system uses the unique human hand geometry for the person verification. Currently, the only system available in the market, HandKey II, uses only the two-dimensional (2D) contour of the human hand. It works with 16 specifications ordimensions of the parts of the hand. The disadvantage of this system is its low rate of entropy, which limits the final number of users of the access control system that can use it. Therefore, we have decided to extend the current knowledge and do our own research in this field. We have proposed a device and a method for 3D hand recognition system that both use the whole hand surface to gather the biometric properties. The method consists of the image acquisition, image processing, 3D hand geometry reconstruction, template generation and verification/identification. This paper is focused mainly on the first three parts that are described and the results of the hand shape reconstruction are presented.

Název v anglickém jazyce

Human Recognition by 3D Hand Geometry

Popis výsledku anglicky

The hand recognition system uses the unique human hand geometry for the person verification. Currently, the only system available in the market, HandKey II, uses only the two-dimensional (2D) contour of the human hand. It works with 16 specifications ordimensions of the parts of the hand. The disadvantage of this system is its low rate of entropy, which limits the final number of users of the access control system that can use it. Therefore, we have decided to extend the current knowledge and do our own research in this field. We have proposed a device and a method for 3D hand recognition system that both use the whole hand surface to gather the biometric properties. The method consists of the image acquisition, image processing, 3D hand geometry reconstruction, template generation and verification/identification. This paper is focused mainly on the first three parts that are described and the results of the hand shape reconstruction are presented.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GD102%2F09%2FH083" target="_blank" >GD102/09/H083: Informační technologie v biomedicínském inženýrství</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of Security and Protection of Information 2011

ISBN

978-80-7231-777-6

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

169-177

Název nakladatele

Brno University of Defence

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

11. 5. 2011

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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