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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE ANDESCON Conference, ANDESCON 2010 - Bogota, Colombia
Duration: 14 Sep 201017 Sep 2010

Publication series

Name2010 IEEE ANDESCON Conference Proceedings, ANDESCON 2010

Conference

Conference2010 IEEE ANDESCON Conference, ANDESCON 2010
Country/TerritoryColombia
CityBogota
Period14/09/1017/09/10

Keywords

  • Covariance matrices
  • Eigenvalues and eigenfunctions
  • Image processing

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