Identification of Indian Currency Notes using Recurrent Neural Network

Authors: Aniket Suryawanshi, Akash Toshniwal, Shruti Salve, Ruchita Shinde, K.V. Metre

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: The identification of fake currency notes is being developed through the focus on security features such as intaglio, microlettering, number panel, bleed lines, latent image, security thread, optical variable link, etc. Previously, the fake currency identification system was developed with the assistance of various algorithms, but according to our survey, the recurrent neural network algorithms (RNN) are considered more efficient than the previously used algorithms. Therefore, the security features and the RNN algorithm are utilized in the development of the system for identifying fake currency.

Keywords: Fake Currency, RNN

Paper Id: 230190

Published On: 2023-05-30

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Identification of Indian Currency Notes using Recurrent Neural Network - Aniket Suryawanshi, Akash Toshniwal, Shruti Salve, Ruchita Shinde, K.V. Metre - IJIRMPS Volume 11, Issue 3, May-June 2023.

Share this