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Euro Banknote Recognition System for Blind People

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,...

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Detalles Bibliográficos
Autores principales: Dunai Dunai, Larisa, Chillarón Pérez, Mónica, Peris-Fajarnés, Guillermo, Lengua Lengua, Ismael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298757/
https://www.ncbi.nlm.nih.gov/pubmed/28117703
http://dx.doi.org/10.3390/s17010184
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author Dunai Dunai, Larisa
Chillarón Pérez, Mónica
Peris-Fajarnés, Guillermo
Lengua Lengua, Ismael
author_facet Dunai Dunai, Larisa
Chillarón Pérez, Mónica
Peris-Fajarnés, Guillermo
Lengua Lengua, Ismael
author_sort Dunai Dunai, Larisa
collection PubMed
description 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.
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spelling pubmed-52987572017-02-10 Euro Banknote Recognition System for Blind People Dunai Dunai, Larisa Chillarón Pérez, Mónica Peris-Fajarnés, Guillermo Lengua Lengua, Ismael Sensors (Basel) Article 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. MDPI 2017-01-20 /pmc/articles/PMC5298757/ /pubmed/28117703 http://dx.doi.org/10.3390/s17010184 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dunai Dunai, Larisa
Chillarón Pérez, Mónica
Peris-Fajarnés, Guillermo
Lengua Lengua, Ismael
Euro Banknote Recognition System for Blind People
title 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_short Euro Banknote Recognition System for Blind People
title_sort euro banknote recognition system for blind people
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298757/
https://www.ncbi.nlm.nih.gov/pubmed/28117703
http://dx.doi.org/10.3390/s17010184
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