IDENTIFICATION OF FAKE INDIAN CURRENCY USING CNN

IDENTIFICATION OF FAKE INDIAN CURRENCY USING CNN

E. PRANITHA, A. JEEVAN, A. SANTHOSH, K. VIJAY, MR. K. VIJAY

B. Tech Students, CSE, Siddhartha Institute of Technology and Sciences, Hyderabad

(Associate professor), CSE, Siddhartha Institute of Technology and Sciences, Hyderabad

ABSTRACT
The paper presents a new approach to detecting counterfeit Indian currency, based on Convolution Neural Networks, which is superior to previous image processing techniques. The method uses Deep Learning, a technique that has been successful in image classification tasks. The system can help both humans and machines identify fake currency notes in real time. The system can be deployed as an application on smartphones, helping society distinguish between fake and original currency notes. The accuracy of the system can be increased by using original fake notes and images from children's bank Churan labels.

 Machine learning, image processing techniques, and tools like Support Vector Machine (SVM) and K-nearest Neighbour (KNN) are utilized to identify fake currency notes.