 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | COUNTERFEIT CURRENCY DETECTION USING MACHINE LEARNING |
| Authors Name: | N.SAILAJA , Md. AFRIN , Y. PRATYUSHA , M. SAI REETHIKA , M.SUSMITHA |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185943
|
| Published Paper Id: | IJRTI2304079 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | The development of color printing technology has accelerated the production of counterfeit currency notes and their mass duplication. Before to a few years ago, only a print shop could perform the printing, but today anyone can produce cash. which is identical to the real one. Employing a basic laser printer. As a result, the problem of fake notes being used in place of genuine ones has greatly escalated. Regrettably,issues like corruption and black money have befallen India. In order to solve this problem, we are using image processing techniques comprising image comparison, segmentation, edge detection, feature extraction, and grayscale conversion and Machine Learning Algorithms like KNN, Support Vector Machine. To differentiate between counterfeit and legitimate currency, we can develop computer learning designs, implementations, and methodologies. Machine learning approaches help in the development of tools that are crucial and required for the research activity. |
| Keywords: | KNN, SVM, Image Processing |
| Cite Article: | "COUNTERFEIT CURRENCY DETECTION USING MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.481 - 487, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304079.pdf |
| Downloads: | 000205309 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2304079
Registration ID:185943
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 481 - 487 Country: Vijayawada, AndhraPradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304079 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304079 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||