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

Author:

Yang Zhuorui1ORCID,Schafer James M.1,Ganz Aura1

Affiliation:

1. 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.

Publisher

IGI Global

Subject

Health Informatics,Computer Science Applications

Reference41 articles.

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4. Speeded-Up Robust Features (SURF)

5. Invariant features from interest point groups.;M.Brown;Proceedings of British Machine Vision Conference, BMVC, Cardiff, Wales,2002

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