Utilizing Deep learning Techniques For Detecting Counterfeit Bank Currency

Utilizing Deep learning Techniques For Detecting Counterfeit Bank Currency

Registration ID: IJNRD_220045

Published ID: IJNRDTH00143

DOI: Click Here to Get

Gudepu Jogesh Babu

: CNN,SVM,Counterfeit currency, Technological Advancements,Image processing,Gray scale conversion,Edge detection,Segmentation,Deep learning

Counterfeit Currency has always been an issue which has created a lot of problems in the market. The increasing technological advancements have made the possibility for creating more counterfeit currency which are circulated in the market which reduces the overall economy of the country. There are machines present at banks and other commercial areas to check the authenticity of the currencies. But a common man does not have access to such systems and hence a need for a software to detect fake currency arises, which can be used by common people. This proposed system uses Image Processing to detect whether the currency is genuine or counterfeit. The system is designed completely using Python programming language. It consists of the steps such as gray scale conversion, edge detection, segmentation, etc. which are performed using suitable methods. The first order and second order statistical features are extracted initially from the input and undergoes deeplearning algorithm CNN. The effective feature vectors are given to the SVM classifier unit for classification. The proposed method produced classification accuracy of 95.8 percentage. The experimental results are compared with state of-the methods and produced reliable results.

Published Paper   E-Certificate

"Utilizing Deep learning Techniques For Detecting Counterfeit Bank Currency", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.297-339, May-2024, Available :https://ijnrd.org/papers/IJNRDTH00143.pdf

Volume 9 Issue 5, May-2024

Pages : 297-339

Paper Reg. ID: IJNRD_220045

Published Paper Id: IJNRDTH00143

Downloads: 000121211

Research Area: Computer Engineering 

Country: visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00143.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00143

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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