An Iranian Cash Recognition Assistance System For Visually Impaireds
An Iranian Cash Recognition Assistance System For Visually Impaireds Esmaiel Nojavani, Azade Rezaeezade and Amirhassan Monadjemi University of Isfahan, Iran ABSTRACT In economical societies of today, using cash is an inseparable aspect of human’s life. People use cash for marketing, services, entertainments, bank operations and so on. This huge amount of contact with cash and the necessity of knowing the monetary value of it caused one of the most challenging problems for visually impaired people. In this paper we propose a mobile phone based approach to identify monetary value of a picture taken from a banknote using some image processing and machine vision techniques. While the developed approach is very fast, it can recognize the value of the banknote by an average accuracy rate of about 97% and can overcome different challenges like rotation, scaling, collision, illumination changes, perspective, and some others. KEYWORDS Cash Identification Using Mobile, Visually Impaired As...