Establishment of the Currency Detector for the Visually Impaired

Abstract

For a person with normal vision, recognition of paper currency is an easy task, but this is not the case for a visually impaired person as the latter faces a lot of difficulties in their day-to-day involvements with monetary transactions. They not only have difficulty in recognizing the paper currencies due to the similarity of paper texture, but also the size between different categories of currency notes. Financial institutions like banks can afford expensive hardware such as Automatic Teller Machines (ATMs), automatic banknote sorters, to resolve the issue of currency recognition, but for common people, especially the visually impaired persons, accessing such expensive hardware is a daunting challenge. The aim of the research was to provide visually impaired persons with a cost-effective android application solution to detect currencies and objectives to establish the effectiveness of the current currency detector applications, challenges faced by users of current currency detectors, and develop a viable currency detector for now and future generations. The study centered on currency recognition software that helps distinguish different currency notes. Development techniques utilized incorporated image foreground segmentation, histogram enhancement, area of interest (ROI) extraction, and template matching primarily based on the cross-correlation among the captured picture and the records set. The system will reduce cases of visually impaired persons being coned and limit transactions involving fake currencies, while acting as a benchmarking tool for emerging research and discoveries.