Currency Recognition For The Visually Impaired People
Abilash CS, M Dinakaran, Hari Vignesh R, A Anju
Abstract
The objective of this research work is to identify the Indian banknotes using an android mobile application. According to a recent survey In India, nearly 40 million people are blind or visually impaired, including 1.6 million children. Owing to a number of factors, visually disabled people had trouble identifying and accepting various types of banknotes. This issue has prompted researchers to create an automated banknote recognition device that can be converted into a vision-based system. The main goal of this research is to dig deeper into the effects of area and orientation on machine learning and deep learning results using Indian currency. The main objective is to help visually impaired people by providing them a simple mobile application. Currency recognition systems based on image processing, on the other hand, are inadequate. This method uses image processing to automate and solidify the task of identifying Indian currencies. Here this system uses Indian Rupees as examples to illustrate this technique. In the phase of object recognition and matching assignments, color is an integral aspect that offers knowledge and important values. Many items can't be categorized accurately until they have color characteristics. So color and shape information are taken under consideration for the identification of the Indian currency notes.