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Sensors (Basel). 2017 Jan 20;17(1). pii: E184. doi: 10.3390/s17010184.

Euro Banknote Recognition System for Blind People.

Author information

1
Research Center in Graphic Technology, Universitat Politècnica de València, Camino de Vera s/n, 5L, Valencia 46022, Spain. ladu@upv.es.
2
Department DSIC, Universitat Politecnica de Valencia, Valencia 46022, Spain. monica.chp@gmail.com.
3
Research Center in Graphic Technology, Universitat Politècnica de València, Camino de Vera s/n, 5L, Valencia 46022, Spain. gperis@upv.es.
4
Research Center in Graphic Technology, Universitat Politècnica de València, Camino de Vera s/n, 5L, Valencia 46022, Spain. ilengua@degi.upv.es.

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.

KEYWORDS:

banknote currency; blindness; image processing; object detection; object recognition

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