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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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 |
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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 |
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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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