Brazilian Banknote Recognition Based on CNN for Blind People

Odalisio Neto, Felipe Oliveira, João Cavalcanti, José L. S. Pio

2023

Abstract

This paper presents an approach based on computer vision techniques for the recognition of Brazilian banknotes. The methods for identifying banknotes, proposed by the Brazilian Central Bank, are unsafe due to intense banknote damage to their original state during daily use. These damages directly affect the recognition ability of the visually impaired. The proposed approach takes into account the second family of the Brazilian currency, the Real (plural Reais), regarding notes of 2, 5, 10, 20, 50 and 100 Reais. Thus, the proposed strategy is composed by two main steps: i) Image Pre-Processing; and ii) Banknote Classification. In the first step, the images of Brazilian banknotes, acquired by smartphone cameras, are processed to reduce the noise presence and preserve edges, through the bilateral filter. Finally, in the banknote classification step, the feature learning process is performed, representing the main features for banknote image classification. In addition, the Convolutional Neural Network (CNN) is used to classify the note denomination (value). Experiments demonstrated the effectiveness and robustness of the proposed approach, achieving an accuracy of 99.103%, using the proposed dataset with 6365 images of real banknotes in different environments and illumination conditions.

Paper Citation

in Harvard Style

Neto O., Oliveira F., Cavalcanti J. and L. S. Pio J. (2023). Brazilian Banknote Recognition Based on CNN for Blind People. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 846-853. DOI: 10.5220/0011796200003417

in Bibtex Style

@conference{visapp23,
author={Odalisio Neto and Felipe Oliveira and João Cavalcanti and José L. S. Pio},
title={Brazilian Banknote Recognition Based on CNN for Blind People},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={846-853},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011796200003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Brazilian Banknote Recognition Based on CNN for Blind People
SN - 978-989-758-634-7
AU - Neto O.
AU - Oliveira F.
AU - Cavalcanti J.
AU - L. S. Pio J.
PY - 2023
SP - 846
EP - 853
DO - 10.5220/0011796200003417
PB - SciTePress