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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: March 2023

Volume 8 | Issue 3

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Published Paper Details
Authors Name: Aniket Suryawanshi , Akash Toshniwal , Shruti Salve , Ruchita Shinde , K.V.Metre
Unique Id: IJSDR2212132
Published In: Volume 7 Issue 12, December-2022
Abstract: Currency duplication is very harmful for the economy of a particular nation and also it is global issue. We are developing a system through which we are able to identify those fake currency notes. In our system we mainly focus on the security features of currency note like intaglio, microlettering, number panel, bleed lines, latent image, security thread, optical variable link, etc. Previously, the fake currency identification system is developed with the helps various algorithms, but as per our survey the neural network algorithms (RNN) are more efficient than previously used algorithms. So, with the help of these security features and Recurrent Neural Network algorithm.
Keywords: Fake currency, security features, RNN
Cite Article: "DETECTION OF INDIAN CURRENCY NOTES USING DEEP LEARNING TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 12, page no.860 - 862, December-2022, Available :http://www.ijsdr.org/papers/IJSDR2212132.pdf
Downloads: 000201523
Publication Details: Published Paper ID: IJSDR2212132
Registration ID:203192
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 860 - 862
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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