computational vision
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2021 ◽  
Vol 13 (1) ◽  
pp. 77-88
Author(s):  
Alisson Pereira Anjos ◽  
Francisco Assis da Silva ◽  
Leandro Luiz de Almeida ◽  
Danillo Roberto Pereira ◽  
Mário Augusto Pazoti ◽  
...  

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%.



Author(s):  
Ramiro Fernandes Ramos ◽  
Mikael Strauhs ◽  
Severino Virgínio Neto ◽  
Antonio Rafael Paulino de Lira ◽  
Maricruz Aurelia Fun Sang Cepeda ◽  
...  


Author(s):  
Percimil Lecca-Pino ◽  
Daniel Tafur-Vera ◽  
Michael Cabanillas-Carbonell ◽  
José Luis Herrera Salazar ◽  
Esteban Medina-Rafaile




2021 ◽  
pp. 1041-1044
Author(s):  
Ruzena Bajcsy
Keyword(s):  


Author(s):  
JÚLIO CÉSAR CAPISTRANO ESTÁCIO ◽  
DARLAN ALMEIDA BARROSO ◽  
Marcello Reis ◽  
Jéssyca Almeida Bessa ◽  
Auzuir Ripardo Alexandria


Author(s):  
Ingrid Nascimento ◽  
Pedro Castro ◽  
Sofia Klautau ◽  
Luan Goncalves ◽  
Carnot Filho ◽  
...  


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