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

Zhuorui Yang, James M. Schafer and Aura Ganz
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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

International Journal of E-Health and Medical Communications (IJEHMC), 2014, vol. 5, issue 3, 1-16

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.

Date: 2014
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