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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 6, JUNE 2023

IDENTIFICATION OF FAKE INDIAN CURRENCY USING CONVOLUTIONAL NEURAL NETWORK

MADHUBALA R, Mr. P. Anbumani, M.C.A, M. Phil, NET

DOI: 10.17148/IJARCCE.2023.12688

Abstract: The technological development and researches have been improving in our daily life, the human computer interaction has been becoming the must source in our everyday life. These technologies will help the visually impaired to take part in some of their social activities. So, in order to mix with the surroundings and society and also to be independent in doing their daily routine activities, this project has been initiated as a good start for the blind people. Therefore, there should be an assistive device for the visually impaired people which would allow the blind people to easily navigate or make use of the functionalities of the device to mingle with other people in the society. Cash Recognition and fake note detection for Visually Impaired is a project dedicated towards blind people living. In recent years, deep learning has become the most popular research direction. This project mainly trains the dataset through neural networks. There are many different models that can be used in this research project. Throughout these models, accuracy of currency recognition can be improved.

How to Cite:

[1] MADHUBALA R, Mr. P. Anbumani, M.C.A, M. Phil, NET, “IDENTIFICATION OF FAKE INDIAN CURRENCY USING CONVOLUTIONAL NEURAL NETWORK,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12688