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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM13296

Currency Recognition Application Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM13296

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM13296

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PSPM

Prof. S. P. Mankar

AC

Aniket Chopade

PV

Prasad Videkar

RS

Rahul Samleti

VA

Vinit Ankam

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Abstract

The motivation for this project of currency recognition is taken from inability to identify paper currencies due to resemblance of paper texture and scale between categories, which is the problem faced by visually impaired and disabled. Indian currencies including the old and new printed currencies have similar texture which could be confusing, through this review and project, we are trying to eliminate this problem to a scale where there should be no issue in monetary changes and exchanges for people with certain vision disabilities. This review shows the ability of image processing techniques and identification through various techniques and through ML algorithms and Image processing methods have been used and also different system around it. The results of certain experiments and outputs with the observations have also been attached below. We are looking forward to using the tensorflow model with various other architectures like CNN architecture and also Keras library for data augmentation. The fully equipped and easy to use android version of application for this currency identifier is the main focus of this project and research.

KEYWORDS

Image processing Machine learning Neural Network Currencies Classifier Currency Detection.

Cite This Article

Prof. S. P. Mankar, Aniket Chopade, Prasad Videkar, Rahul Samleti, Vinit Ankam, "Currency Recognition Application Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022. https://doi.org/10.55041/IJSREM13296

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Publication Date

5/28/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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