Euro Banknote Recognition System for Blind People [PDF]
Sensors, 2017 This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared ...
Larisa Dunai Dunai +3 more
doaj +7 more sources
A Survey on Banknote Recognition Methods by Various Sensors [PDF]
Sensors, 2017 Despite a decrease in the use of currency due to the recent growth in the use of electronic financial transactions, real money transactions remain very important in the global market.
Ji Woo Lee +3 more
doaj +6 more sources
Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence [PDF]
Sensors, 2019 We investigated machine learning-based joint banknote recognition and counterfeit detection method. Unlike existing methods, since the proposed method simultaneously recognize banknote type and detect counterfeit detection, it is significantly faster ...
Miseon Han, Jeongtae Kim
doaj +6 more sources
Annotated Peruvian banknote dataset for currency recognition and classification [PDF]
Data in Brief, 2023 The real-time detection of multinational banknotes remains an ongoing research challenge within the academic community. Numerous studies have been conducted to address the need for rapid and accurate banknote recognition, counterfeit detection, and ...
Nicolás Esleyder Caytuiro-Silva +4 more
doaj +4 more sources
The HMM-based banknote recognition system [PDF]
E3S Web of ConferencesIn order to satisfy the fast, accurate and high reliability of banknote image recognition, a banknote image recognition method based on hidden Markov models (MHH) is proposed in this paper.
Chang Liang, Vodka Oleksii
doaj +3 more sources
Fake Banknote Recognition Using Deep Learning [PDF]
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 +2 more
doaj +3 more sources
Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor [PDF]
Sensors, 2016 Banknote papers are automatically recognized and classified in various machines, such as vending machines, automatic teller machines (ATM), and banknote-counting machines.
Tuyen Danh Pham +5 more
doaj +3 more sources
Multi-Currency Integrated Serial Number Recognition Model of Images Acquired by Banknote Counters [PDF]
Sensors, 2022 The objective of this study was to establish an automated system for the recognition of banknote serial numbers by developing a deep learning (DL)-based optical character recognition framework.
Woohyuk Jang +4 more
doaj +2 more sources
A High Performance Banknote Recognition System Based on a One-Dimensional Visible Light Line Sensor [PDF]
Sensors, 2015 An algorithm for recognizing banknotes is required in many fields, such as banknote-counting machines and automatic teller machines (ATM). Due to the size and cost limitations of banknote-counting machines and ATMs, the banknote image is usually captured
Young Ho Park +5 more
doaj +2 more sources
One- and Five-Ringgit Malaysia banknotes reader with counterfeit detection for visually impaired person using backlight mechanism and image processing techniques [version 2; peer review: 2 approved, 1 not approved] [PDF]
F1000Research, 2022 Visually impaired persons face challenges in running business activities, especially in handling banknotes. Malaysia researchers had proposed some Ringgit banknotes recognition systems to aid visually impaired persons recognize and classify Ringgit ...
Turki Khaled Salem +3 more
doaj +2 more sources