Results 11 to 20 of about 161 (129)

Fuzzy Logic Weighted Averaging Algorithm for Malaysian Banknotes Reader Featuring Counterfeit Detection

Journal of Engineering Technology and Applied Physics, 2023
This paper proposed a novel fuzzy logic weighted averaging (FLWA) algorithm in image processing techniques to detect counterfeit Malaysian banknotes.
Turki Khaled Al-Hila, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong   +3 more
doaj   +2 more sources

Deep Learning-Based Multinational Banknote Type and Fitness Classification with the Combined Images by Visible-Light Reflection and Infrared-Light Transmission Image Sensors [PDF]

Sensors, 2019
Automatic sorting of banknotes in payment facilities, such as automated payment machines or vending machines, consists of many tasks such as recognition of banknote type, classification of fitness for recirculation, and counterfeit detection.
Tuyen Danh Pham, Dat Tien Nguyen, Chanhum Park, Kang Ryoung Park   +3 more
doaj   +2 more sources

Counterfeit Detection Using Characterization of Safety Feature on Banknote with Full-field Optical Coherence Tomography [PDF]

Journal of the Optical Society of Korea, 2010
We report an application of full-field optical coherence tomography (FF-OCT) for identifying counterfeit bank notes. The depth-resolved imaging capability of FF-OCT was used for tomographic identification of superficially-identical objects. By retrieving the internal structures of the security feature (cash hologram) of an original banknote, we could ...
Byeong Ha Lee
exaly   +2 more sources

Vulnerability to Counterfeit Currency Fraud in Bulgaria: Public Competency Assessment in Identifying Genuine Lev Banknotes Before the Euro Cash Changeover

Social Sciences
This article examines vulnerability to counterfeit currency fraud in Bulgaria by assessing citizens’ competence in recognizing genuine banknotes of the national currency (BGN) prior to the introduction of euro banknotes in 2026.
Georgi Georgiev, Ivan Georgiev, Katina Kisyova, Slavi Georgiev   +3 more
doaj   +3 more sources

Malaysian Banknote Reader Featuring Counterfeit Detection Using Fuzzy Logic Weighted Specific (FLWS) Algorithm

Journal of Engineering Technology and Applied Physics
To identify fake Malaysian banknotes, this research suggested a revolutionary fuzzy logic weighted specific (FLWS) approach in image processing techniques.
Turki Khaled Al-Hila, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong, S. Manikandan   +4 more
doaj   +3 more sources

Detecting counterfeit banknotes with machine learning

South Asian Journal of Engineering and Technology, 2022
The one important asset of our country is Bank currency and to create discrepancies of money miscreants introduce the fake notes which resembles to original note in thefinancial market. During demonetization time it is seen that so much of fake currency is floating in market.
null Suneetha Rani R, null Gayathri B, null Venkata Surya M, null Jharani Asha Kiran P, null Siva Krishna R   +4 more
openaire   +1 more source

Fake Banknote Recognition Using Deep Learning

Applied Sciences, 2021
Recently, some state-of-the-art works have used deep learning-based architectures, specifically convolutional neural networks (CNNs), for banknote recognition and counterfeit detection with promising results.
César G. Pachón, Dora M. Ballesteros, Diego Renza   +2 more
doaj   +1 more source

Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras

IEEE Access, 2020
Automatic recognition of fake banknotes is an important task in practical banknote handling. Research on this task has mostly involved methods applied to automatic sorting machines with multiple imaging sensors or that use specialized sensors for ...
Tuyen Danh Pham, Chanhum Park, Dat Tien Nguyen, Ganbayar Batchuluun, Kang Ryoung Park   +4 more
doaj   +1 more source

Android-Based Verification System for Banknotes

Journal of Imaging, 2017
With the advancement in imaging technologies for scanning and printing, production of counterfeit banknotes has become cheaper, easier, and more common. The proliferation of counterfeit banknotes causes loss to banks, traders, and individuals involved in
Ubaid Ur Rahman, Allah Bux Sargano, Usama Ijaz Bajwa   +2 more
doaj   +1 more source

Machine learning-based authentication of banknotes: a comprehensive analysis [PDF]

Big Data and Computing Visions
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 ...
Nadia Ghasem Abadi
doaj   +1 more source