ItemConference Paper

A Comprehensive Survey of Methods for Identifying Counterfeit Banknotes Using Image Processing and Machine Learning

Title
A Comprehensive Survey of Methods for Identifying Counterfeit Banknotes Using Image Processing and Machine Learning
Creator
Sharmila, B.; Sowmiya, A.; Mary, Teena; Sandeep, J.; Sreeja, C.S.
Description
The world economy is threatened by counterfeit currencies. Counterfeit currencies are often difficult, time-consuming and ineffective to identify manually. Automated methods based on image processing techniques and machine learning algorithms are helpful in detecting counterfeit notes. This survey paper reviews the current strategies on fake banknote detection using image processing techniques and machine learning algorithms. We discuss various stages of the detection process, including image acquisition, preprocessing, feature extraction and classification. Furthermore, we analyze the limitations and comparative performance of different algorithms and approaches mentioned in the literature. The survey aims to provide insights into the various methodologies, challenges and future directions in the field of fake banknote detection, facilitating the development of more robust and effective counterfeit detection systems. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Networks and Systems;Volume;1164 LNNS;pp.555-573
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
CNN; Counterfeit banknotes; Fake currency detection; Image processing; KNN; Machine learning; Security features; SVM
Coverage
Sharmila B., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sowmiya A., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Mary T., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sandeep J., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Sreeja C.S., CHRIST University, Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981978328-1;
Format
online
Language
English
Type
Conference paper

Citation

Sharmila, B.; Sowmiya, A.; Mary, Teena; Sandeep, J.; Sreeja, C.S., “A Comprehensive Survey of Methods for Identifying Counterfeit Banknotes Using Image Processing and Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25667.

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