UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 1
January-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2201055


Registration ID:
318638

Page Number

a408-a414

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Title

Identification of Australian coins using Neural Network Approach

Abstract

A coin is a small, flat, a round or quadrangular piece of metal/alloy widely used as a medium of exchange/legal tender issued by the government. They are designed and standardized in weight produced in large quantities at a mint in order to facilitate transactions and business. Considering the same importance, it becomes very necessary to different to differentiate between real and counterfeited coins. The proposed system uses various fundamentals of artificial neural network and genetic algorithm to perform the said task in just no time, without compromising the quality of image.

Key Words

government, transactions, neural network, genetic algorithm

Cite This Article

"Identification of Australian coins using Neural Network Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.a408-a414, January-2022, Available :http://www.jetir.org/papers/JETIR2201055.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Identification of Australian coins using Neural Network Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppa408-a414, January-2022, Available at : http://www.jetir.org/papers/JETIR2201055.pdf

Publication Details

Published Paper ID: JETIR2201055
Registration ID: 318638
Published In: Volume 9 | Issue 1 | Year January-2022
DOI (Digital Object Identifier):
Page No: a408-a414
Country: Amravati, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2201055
Published Paper PDF: https://www.jetir.org/papers/JETIR2201055

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