Currency Detection for Blind People

Currency Detection for Blind People

Vikas Kumar Yadav1, Vikas Singh2, Er. Sandeep Dubey3

Department of Computer Science & Engineering
Shri Ramswaroop Memorial Collage of Engineering and Management, Lucknow

Abstract— Currency detection is a significant problem faced by visually impaired individuals, as it can be challenging for them to differentiate between various denominations. This paper proposes an ML-based solution for currency detection, which aims to provide a simple and effective means of identifying different currencies. We have developed a system that uses image processing techniques and machine learning algorithms to recognize and identify the currency notes. We have also evaluated the performance of our proposed system on a dataset of currency images and achieved an accuracy of 87%. Our results show that our system is effective and reliable for use in real-world scenarios, providing a viable solution for visually impaired individuals.

Keywords— Currency recognition, visually disabled, Denomination, Image Processing, Feature Extraction, Pre-Processing, Edge Detection, Image comparison.