Machine learning-based authentication of banknotes: a comprehensive analysis
This research investigates the utilization of machine learning techniques for the identification and classification of counterfeit currency. The study utilizes a dataset consisting of authentic and counterfeit banknotes, employing various classification algorithms to construct a robust model for aut...
Saved in:
Main Author: | Nadia Ghasem Abadi |
---|---|
Format: | Article |
Language: | English |
Published: |
REA Press
2024-03-01
|
Series: | Big Data and Computing Visions |
Subjects: | |
Online Access: | https://www.bidacv.com/article_197120_03eff6036b03cdd0d0b1fa6d97326e74.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Credit card fraud detection through machine learning algorithm
by: Agyan Panda, et al.
Published: (2021-09-01) -
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
by: Abed Mutemi, et al.
Published: (2024-06-01) -
To the issue of cooperation project between Imperial Russian State Papers Manufactory and Partnership of Typography «A. A. Levenson» during the First World War
by: A. P. Balachenkova, et al.
Published: (2019-05-01) -
Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria
by: Oluwaseun Isaac Odufisan, et al.
Published: (2025-03-01) -
Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms
by: Reem A. Alzahrani, et al.
Published: (2025-01-01)