An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
- Autores
- Lang, Lucía; Gazcón, Nicolás Fernando; Larrea, Martín
- 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.
- Materia
-
Ciencias de la Computación
visually impaired
image recognition
software innovation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/8991
Ver los metadatos del registro completo
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CIC Digital (CICBA) |
spelling |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using SmartphonesLang, LucíaGazcón, Nicolás FernandoLarrea, MartínCiencias de la Computaciónvisually 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.2018-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/8991enginfo:eu-repo/semantics/altIdentifier/hdl/10915/73472info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:07Zoai:digital.cic.gba.gob.ar:11746/8991Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:07.795CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
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 de la Computación 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 |
author |
Lang, Lucía |
author_facet |
Lang, Lucía Gazcón, Nicolás Fernando Larrea, Martín |
author_role |
author |
author2 |
Gazcón, Nicolás Fernando Larrea, Martín |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación visually impaired image recognition software innovation |
topic |
Ciencias de la Computación 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. |
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 http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/8991 |
url |
https://digital.cic.gba.gob.ar/handle/11746/8991 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/hdl/10915/73472 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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1844618601456205824 |
score |
13.070432 |