VISUAL CURRENCY VALIDATOR: AN ANDROID APP EMPOWERING THE VISUALLY IMPAIRED WITH IMAGE PROCESSING AND DEEP LEARNING FOR FAKE CURRENCY DETECTION

Abstract

In today's digital world, it is crucial to ensure financial security and independence for everyone, including individuals who are visually impaired. One of the challenges that visually impaired people face when managing their finances is the ability to identify different Indian Rupee (INR) denominations. The use of machine learning technology is a significant step towards improving the accessibility of financial services for visually impaired people. This model not only recognizes different Indian rupees (INR) denominations but also processes the currency is real or fake in real-time. This feature ensures that visually impaired people can quickly and easily verify the authenticity of the currency they receive, giving them the confidence to manage their finances independently. This proposed model used in Android Application works as first recognizing the currency type and then processing it. Once the currency is processed, the application uses text-to-speech technology to speak out the denomination. This feature enables visually impaired people to verify the authenticity of the currency and avoid falling victim to counterfeit money. If the application gives intensity above 75% then detected currency is real otherwise it is counterfeit. Android application is a significant step towards ensuring financial security and independence for visually impaired people. By utilizing machine learning technology, the application accurately recognizes different INR denominations and speaks out the denomination, providing a dependable tool for visually impaired individuals to manage their funds and protect themselves against fake money. The application promotes financial inclusion and independence, empowering visually impaired people to manage their finances with confidence.

Keywords – Machine Learning, Feature Extraction, Indian rupees (INR), Image Processing, Edge Detection