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Sensors 2017, 17(1), 184; doi:10.3390/s17010184

Euro Banknote Recognition System for Blind People

1
Research Center in Graphic Technology, Universitat Politècnica de València, Camino de Vera s/n, 5L, Valencia 46022, Spain
2
Department DSIC, Universitat Politecnica de Valencia, Valencia 46022, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 13 October 2016 / Revised: 10 January 2017 / Accepted: 12 January 2017 / Published: 20 January 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2016)
View Full-Text   |   Download PDF [9259 KB, uploaded 20 January 2017]   |  

Abstract

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. View Full-Text
Keywords: blindness; image processing; object detection; object recognition; banknote currency blindness; image processing; object detection; object recognition; banknote currency
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dunai Dunai, L.; Chillarón Pérez, M.; Peris-Fajarnés, G.; Lengua Lengua, I. Euro Banknote Recognition System for Blind People. Sensors 2017, 17, 184.

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