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RECONHECIMENTO DE CÉDULAS DO REAL A PARTIR DE IMAGENS USANDO CNN PARA AUXILIAR DEFICIENTES VISUAIS
Author(s) -
Alisson Pereira Anjos,
Francisco Assis da Silva,
Leandro Luiz de Almeida,
Danillo Roberto Pereira,
Mário Augusto Pazoti,
Almir Olivette Artero,
Marco Antônio Piteri
Publication year - 2021
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2021.v13.n1.e352
Subject(s) - computer science , artificial intelligence , computer vision , banknote , pattern recognition (psychology)
Real Banknotes recognition through touch has always been a problem found by visually impaired. The advancement of technology makes it possible to solve this problem computationally. In this work, we present a method to perform Real Banknotes recognition from images using computational vision and artificial intelligence algorithms. The results show that computational cost and recognitionrate are acceptable for use in uncontrolled environments. The processing time for recognition of each Real banknote was 200 milliseconds, with an accuracy of 91.67%.

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