Euro Banknote Recognition System for Blind People

[EN] This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared li...

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Detalles Bibliográficos
Autores: Dunai, Larisa|||0000-0002-5076-0695, CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908, Peris Fajarnes, Guillermo|||0000-0001-9215-9091, Lengua, Ismael|||0000-0002-4320-8325
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/103788
Acceso en línea:https://riunet.upv.es/handle/10251/103788
Access Level:acceso abierto
Palabra clave:Blindness
Image processing
Object detection
Object recognition
Banknote currency
EXPRESION GRAFICA EN LA INGENIERIA
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Euro Banknote Recognition System for Blind PeopleDunai, Larisa|||0000-0002-5076-0695CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908Peris Fajarnes, Guillermo|||0000-0001-9215-9091Lengua, Ismael|||0000-0002-4320-8325BlindnessImage processingObject detectionObject recognitionBanknote currencyEXPRESION GRAFICA EN LA INGENIERIA[EN] This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively.The work was supported by the project from the Generalitat Valenciana under the number GV/2014/015-Emergency projects.MDPI AGDepartamento de Sistemas Informáticos y ComputaciónDepartamento de Ingeniería GráficaEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y TopográficaEscuela Técnica Superior de Ingeniería IndustrialCentro de Investigación en Tecnologías GráficasEscuela Politécnica Superior de GandiaEscuela Técnica Superior de Ingeniería InformáticaGeneralitat ValencianaRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/103788reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2014%2F015open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1037882026-06-13T07:49:27Z
dc.title.none.fl_str_mv Euro Banknote Recognition System for Blind People
title Euro Banknote Recognition System for Blind People
spellingShingle Euro Banknote Recognition System for Blind People
Dunai, Larisa|||0000-0002-5076-0695
Blindness
Image processing
Object detection
Object recognition
Banknote currency
EXPRESION GRAFICA EN LA INGENIERIA
title_short Euro Banknote Recognition System for Blind People
title_full Euro Banknote Recognition System for Blind People
title_fullStr Euro Banknote Recognition System for Blind People
title_full_unstemmed Euro Banknote Recognition System for Blind People
title_sort Euro Banknote Recognition System for Blind People
dc.creator.none.fl_str_mv Dunai, Larisa|||0000-0002-5076-0695
CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Peris Fajarnes, Guillermo|||0000-0001-9215-9091
Lengua, Ismael|||0000-0002-4320-8325
author Dunai, Larisa|||0000-0002-5076-0695
author_facet Dunai, Larisa|||0000-0002-5076-0695
CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Peris Fajarnes, Guillermo|||0000-0001-9215-9091
Lengua, Ismael|||0000-0002-4320-8325
author_role author
author2 CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Peris Fajarnes, Guillermo|||0000-0001-9215-9091
Lengua, Ismael|||0000-0002-4320-8325
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Departamento de Ingeniería Gráfica
Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
Escuela Técnica Superior de Ingeniería Industrial
Centro de Investigación en Tecnologías Gráficas
Escuela Politécnica Superior de Gandia
Escuela Técnica Superior de Ingeniería Informática
Generalitat Valenciana
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Blindness
Image processing
Object detection
Object recognition
Banknote currency
EXPRESION GRAFICA EN LA INGENIERIA
topic Blindness
Image processing
Object detection
Object recognition
Banknote currency
EXPRESION GRAFICA EN LA INGENIERIA
description [EN] This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/103788
url https://riunet.upv.es/handle/10251/103788
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2014%2F015
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404866105835520
score 15.300719

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