IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People
Author:
Affiliation:
1. Computer Science and Engineering, IIT Ropar, Rupnagar, Punjab, India
2. Biomedical Engineering, IIT Ropar, Rupnagar, Punjab, India
3. Chemical Engineering, IIT Ropar, Rupnagar, Punjab, India
Funder
Department of Science and Technology (DST) through the Cognitive Science Research Initiative
Institute Scheme for Innovative Research and Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09868010.pdf?arnumber=9868010
Reference52 articles.
1. Fast‐moving coin recognition using deep learning
2. A Paper Currency Recognition System Using Negatively Correlated Neural Network Ensemble
3. A reliable method for paper currency recognition based on LBP
4. Implementing a reliable neuro-classifier for paper currency using PCA algorithm
5. Recognition of paper currencies by hybrid neural network
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