An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones

Autores
Lang, Lucía; Gazcón, Nicolás Fernando; Larrea, Martín Leonardo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.
X Workshop Innovación en Sistemas de Software (WISS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
visually impaired
image recognition
software innovation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/73472
Acceder
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network_name_str SEDICI (UNLP)
spelling An Open Source Solution for Money Bill Recognition for the Visually Impaired User using SmartphonesLang, LucíaGazcón, Nicolás FernandoLarrea, Martín LeonardoCiencias Informáticasvisually impairedimage recognitionsoftware innovationAccording to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI)2018-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf808-817http://sedici.unlp.edu.ar/handle/10915/73472enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:53:19Zoai:sedici.unlp.edu.ar:10915/73472Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:53:19.478SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
title An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
spellingShingle An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
Lang, Lucía
Ciencias Informáticas
visually impaired
image recognition
software innovation
title_short An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
title_full An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
title_fullStr An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
title_full_unstemmed An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
title_sort An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
dc.creator.none.fl_str_mv Lang, Lucía
Gazcón, Nicolás Fernando
Larrea, Martín Leonardo
author Lang, Lucía
author_facet Lang, Lucía
Gazcón, Nicolás Fernando
Larrea, Martín Leonardo
author_role author
author2 Gazcón, Nicolás Fernando
Larrea, Martín Leonardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
visually impaired
image recognition
software innovation
topic Ciencias Informáticas
visually impaired
image recognition
software innovation
dc.description.none.fl_txt_mv According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.
X Workshop Innovación en Sistemas de Software (WISS)
Red de Universidades con Carreras en Informática (RedUNCI)
description According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.
publishDate 2018
dc.date.none.fl_str_mv 2018-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/73472
url http://sedici.unlp.edu.ar/handle/10915/73472
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
808-817
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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