Contactless identification system based on visual analysis of examined element

Identification methods based on biometry are going through great expansion lately. They are being applied in common electronics and home computers. As an example can be used implementation of biometry in Windows 10 as a function Windows Hello. This article is applying to project and realization of e...

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Main Authors: Kolda, Lukas, Krejcar, Ondrej, Selamat, Ali, Brida, Peter, Kuca, Kamil
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:http://eprints.utm.my/id/eprint/81874/
http://dx.doi.org/10.1007/978-3-319-76081-0_35
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Institution: Universiti Teknologi Malaysia
id my.utm.81874
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spelling my.utm.818742019-09-30T12:59:31Z http://eprints.utm.my/id/eprint/81874/ Contactless identification system based on visual analysis of examined element Kolda, Lukas Krejcar, Ondrej Selamat, Ali Brida, Peter Kuca, Kamil QA75 Electronic computers. Computer science Identification methods based on biometry are going through great expansion lately. They are being applied in common electronics and home computers. As an example can be used implementation of biometry in Windows 10 as a function Windows Hello. This article is applying to project and realization of experimental multibiometric system for laboratory verification of theoretical knowledge. The system identifies the user using biometric characteristics of hand contour and bloodstream on the dorsum of the hand. This article deals with project and realization of hardware and software for experimental biometric system. The software part is written in C# using OpenCV library and Emgu CV wrapper. 2018 Conference or Workshop Item PeerReviewed Kolda, Lukas and Krejcar, Ondrej and Selamat, Ali and Brida, Peter and Kuca, Kamil (2018) Contactless identification system based on visual analysis of examined element. In: 10th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2018, 19 March 2018 through 21 March 2018, Dong Hoi City, Vietnam. http://dx.doi.org/10.1007/978-3-319-76081-0_35
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kolda, Lukas
Krejcar, Ondrej
Selamat, Ali
Brida, Peter
Kuca, Kamil
Contactless identification system based on visual analysis of examined element
description Identification methods based on biometry are going through great expansion lately. They are being applied in common electronics and home computers. As an example can be used implementation of biometry in Windows 10 as a function Windows Hello. This article is applying to project and realization of experimental multibiometric system for laboratory verification of theoretical knowledge. The system identifies the user using biometric characteristics of hand contour and bloodstream on the dorsum of the hand. This article deals with project and realization of hardware and software for experimental biometric system. The software part is written in C# using OpenCV library and Emgu CV wrapper.
format Conference or Workshop Item
author Kolda, Lukas
Krejcar, Ondrej
Selamat, Ali
Brida, Peter
Kuca, Kamil
author_facet Kolda, Lukas
Krejcar, Ondrej
Selamat, Ali
Brida, Peter
Kuca, Kamil
author_sort Kolda, Lukas
title Contactless identification system based on visual analysis of examined element
title_short Contactless identification system based on visual analysis of examined element
title_full Contactless identification system based on visual analysis of examined element
title_fullStr Contactless identification system based on visual analysis of examined element
title_full_unstemmed Contactless identification system based on visual analysis of examined element
title_sort contactless identification system based on visual analysis of examined element
publishDate 2018
url http://eprints.utm.my/id/eprint/81874/
http://dx.doi.org/10.1007/978-3-319-76081-0_35
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