Smartphone recognition of the U.S. banknotes' denomination, for visually impaired people

Felipe Grijalva*, J. C. Rodríguez, Julio Larco, Luis Orozco

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

29 Citas (Scopus)

Resumen

We have developed the prototype of a system that recognizes the denomination of the largest U.S.A. currency notes in circulation in Ecuador, aimed at visually impaired people. It is capable of reproducing audio messages that announce the denomination of a banknote in front of a smartphone camera by processing each frame of its continuous filming. This work takes its theoretical basis from the Digital Image Processing (DIP) techniques and primarily from the image recognition method known as Eigenfaces, which is based on the Principal Component Analysis (PCA) mathematical theory. Tests on two different Nokia smartphones show an accuracy rate of 99.8% and a processing speed of at least 7 frames per second.

Idioma originalInglés
Título de la publicación alojada2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento2010 IEEE ANDESCON Conference, ANDESCON 2010 - Bogota, Colombia
Duración: 14 sep. 201017 sep. 2010

Serie de la publicación

Nombre2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010

Conferencia

Conferencia2010 IEEE ANDESCON Conference, ANDESCON 2010
País/TerritorioColombia
CiudadBogota
Período14/09/1017/09/10

Huella

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