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Reliable and User Friendly U.S Banknote Recognition Application for Visually Impaired Users on Android Smartphones

Author

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  • Zhuorui Yang

    (Electrical and Computer Engineering Department, University of Massachusetts Amherst, MA, USA)

  • James M. Schafer

    (Electrical and Computer Engineering Department, University of Massachusetts Amherst, MA, USA)

  • Aura Ganz

    (Electrical and Computer Engineering Department, University of Massachusetts Amherst, MA, USA)

Abstract

This paper introduces a reliable and user-friendly Android application that helps visually impaired users recognize U.S banknotes. The application relies only on an Android Smartphone and does not require any wireless data connection or back-end infrastructure. The application is proven to be robust and reliable under various environmental conditions which differ in lighting and background conditions. The overall banknote detection accuracy is over 94% in any lighting conditions (even in a dark room) or backgrounds with near real-time banknote detection time of 7 seconds. The main contribution of this paper is the use of a robust and reliable computer vision algorithm on the Android platform combined with a friendly “vision free” user interface.

Suggested Citation

  • Zhuorui Yang & James M. Schafer & Aura Ganz, 2014. "Reliable and User Friendly U.S Banknote Recognition Application for Visually Impaired Users on Android Smartphones," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 5(3), pages 1-16, July.
  • Handle: RePEc:igg:jehmc0:v:5:y:2014:i:3:p:1-16
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