Fake Currency Detection for Differently Abled People

Abstract

Abstract: For people with visual impairments, identifying various currency denominations and fake currency is difficult. Even though special symbols are engraved on various denominations in India, the process is time-consuming for people with disabilities. The need for a handheld device to distinguish between different denominations and detect counterfeit notes stemmed from the lack of identification and fake detection tools. In this project, the features of the images are compared to all of the currency reference images. If the difference is less than a certain threshold, the numeric portion of the currency is extracted and compared; if it matches, the matched currency denomination is recognized. The 50, 100, 500, 2000, 20, and 10 Indian currency denominations are accepted. Using raspberry pi, the proposed model will automatically identify counterfeit currency and denomination in this project. Basic image processing, template matching, aspect ratio identification, the dominant colour, and feature extraction are all used to distinguish between counterfeit and denomination. Finally, to turn English text into a six-digit braille code, we use solenoid-based valves that are controlled by a Raspberry Pi.