Access control system using palm of the hand image processing

Robinson Jimenez Moreno; Andres L.Jutinico Alarcon; Jorge Ramirez; Carlos Andres Arredondo

doi:10.1109/STSIVA.2013.6644946

Access control system using palm of the hand image processing

Robinson Jimenez Moreno, Andres L.Jutinico Alarcon, Jorge Ramirez, Carlos Andres Arredondo

Grupo de Investigación en Energía - GRINEN

Resultado de la investigación: Contribución a una conferencia › Paper

1 Cita (Scopus)

Resumen

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. © 2013 IEEE.

Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1109/STSIVA.2013.6644946
Estado	Publicada - 31 dic 2013
Evento	Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 - Duración: 31 dic 2013 → …

Conferencia

Conferencia	Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013
Período	31/12/13 → …

Acceder al documento

10.1109/STSIVA.2013.6644946

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891078652&origin=inward

Huella Profundice en los temas de investigación de 'Access control system using palm of the hand image processing'. En conjunto forman una huella única.

Citar esto

@conference{955de631656a4eb8ae44d4745103e4df,

title = "Access control system using palm of the hand image processing",

abstract = "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. {\textcopyright} 2013 IEEE.",

author = "Moreno, {Robinson Jimenez} and Alarcon, {Andres L.Jutinico} and Jorge Ramirez and Arredondo, {Carlos Andres}",

year = "2013",

month = dec,

day = "31",

doi = "10.1109/STSIVA.2013.6644946",

language = "American English",

note = "Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 ; Conference date: 31-12-2013",

}

TY - CONF

T1 - Access control system using palm of the hand image processing

AU - Moreno, Robinson Jimenez

AU - Alarcon, Andres L.Jutinico

AU - Ramirez, Jorge

AU - Arredondo, Carlos Andres

PY - 2013/12/31

Y1 - 2013/12/31

N2 - 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. © 2013 IEEE.

AB - 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. © 2013 IEEE.

U2 - 10.1109/STSIVA.2013.6644946

DO - 10.1109/STSIVA.2013.6644946

M3 - Paper

T2 - Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013

Y2 - 31 December 2013

ER -