Access control system using palm of the hand image processing

In this article is presented the design of a biometric system for the palm of the hand, oriented to offer a people access control, without the typical drawbacks of this system, like the no carrying of the budge, erase of the id barcode, unreadable fingerprints, dirty or soiled hands. The system uses...

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Autores:
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/2316
Acceso en línea:
http://hdl.handle.net/11407/2316
Palabra clave:
biometric register
image processing
neural network
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restrictedAccess
License
http://purl.org/coar/access_right/c_16ec
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spelling 2016-06-23T21:52:08Z2016-06-23T21:52:08Z20139781479911219http://hdl.handle.net/11407/231610.1109/STSIVA.2013.6644946In this article is presented the design of a biometric system for the palm of the hand, oriented to offer a people access control, without the typical drawbacks of this system, like the no carrying of the budge, erase of the id barcode, unreadable fingerprints, dirty or soiled hands. The system uses a cubicle with a guide to position the palm of the hand and a constant lighting system. With a camera is acquired the back of the hands' image and is processed with MATLAB to get measurements like skin color, width and hand length, to use parametrical non parametric classifier and to identify the palm of the hand of one or other users.enghttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6644946Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 2013, Article number 6644946ScopusAccess control system using palm of the hand image processingConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94finfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecGIBIO, Universidad Antonio Nariño, Bogotá, ColombiaGrupo de Investigación en Energía, GRINEN, Universidad de Medellín, Medellín, ColombiaMoreno R.J.Alarcon A.L.J.Ramirez J.Arredondo C.A.biometric registerimage processingneural network11407/2316oai:repository.udem.edu.co:11407/23162020-05-27 17:52:29.962Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv Access control system using palm of the hand image processing
title Access control system using palm of the hand image processing
spellingShingle Access control system using palm of the hand image processing
biometric register
image processing
neural network
title_short Access control system using palm of the hand image processing
title_full Access control system using palm of the hand image processing
title_fullStr Access control system using palm of the hand image processing
title_full_unstemmed Access control system using palm of the hand image processing
title_sort Access control system using palm of the hand image processing
dc.contributor.affiliation.spa.fl_str_mv GIBIO, Universidad Antonio Nariño, Bogotá, Colombia
Grupo de Investigación en Energía, GRINEN, Universidad de Medellín, Medellín, Colombia
dc.subject.keyword.eng.fl_str_mv biometric register
image processing
neural network
topic biometric register
image processing
neural network
description In this article is presented the design of a biometric system for the palm of the hand, oriented to offer a people access control, without the typical drawbacks of this system, like the no carrying of the budge, erase of the id barcode, unreadable fingerprints, dirty or soiled hands. The system uses a cubicle with a guide to position the palm of the hand and a constant lighting system. With a camera is acquired the back of the hands' image and is processed with MATLAB to get measurements like skin color, width and hand length, to use parametrical non parametric classifier and to identify the palm of the hand of one or other users.
publishDate 2013
dc.date.created.none.fl_str_mv 2013
dc.date.accessioned.none.fl_str_mv 2016-06-23T21:52:08Z
dc.date.available.none.fl_str_mv 2016-06-23T21:52:08Z
dc.type.eng.fl_str_mv Conference Paper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 9781479911219
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/2316
dc.identifier.doi.none.fl_str_mv 10.1109/STSIVA.2013.6644946
identifier_str_mv 9781479911219
10.1109/STSIVA.2013.6644946
url http://hdl.handle.net/11407/2316
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6644946
dc.relation.ispartofen.eng.fl_str_mv Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 2013, Article number 6644946
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
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