Jordanian banknote data recognition: A CNN-based approach with attention mechanism
Journal of King Saud University: Computer and Information SciencesIdentifying counterfeit banknotes is crucial in financial transactions, as the process of identification cannot be handled by ATMs or vending machines. The recent developments in technology, particularly the smart systems that are integrated with cameras
Ahmad Nasayreh +9 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 +3 more
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Fast and Low-Cost Mechatronic Recognition System for Persian Banknotes [PDF]
International Journal of Advanced Robotic Systems, 2014 In this paper, we designed a fast and low-cost mechatronic system for recognition of eight current Persian banknotes in circulation. Firstly, we proposed a mechanical solution for avoiding extra processing time caused by detecting the place of banknote ...
Majid Behjat, Payman Moallem
doaj +3 more sources
Modified HOG Descriptor-Based Banknote Recognition System
Advances in Science, Technology and Engineering Systems Journal, 2018 This research presents a banknote recognition and counterfeit detection system that proposes a pre-processing approach before creating a new feature set by extracting Speeded-Up Robust Feature, creating image patches from its vertices and then computing ...
T. V. Dittimi, C. Suen
semanticscholar +2 more sources
Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization [PDF]
Sensors, 2019 We investigated a machine-learning-based fast banknote serial number recognition method. Unlike existing methods, the proposed method not only recognizes multi-digit serial numbers simultaneously but also detects the region of interest for the serial ...
Eunjeong Choi, Somi Chae, Jeongtae Kim
doaj +2 more sources
Side Biases in Euro Banknotes Recognition: The Horizontal Mapping of Monetary Value [PDF]
Frontiers in Psychology, 2018 Money is a special stimulus for humans, because of its relevance in everyday life. However, the basic mechanisms underlying money representation have not yet been fully investigated.
Felice Giuliani +6 more
doaj +5 more sources
Ethiopian banknote recognition using deep learning
International Journal of Information Technology, Communications and Convergence, 2023 Fitehalew Ashagrie Demilew +1 more
semanticscholar +2 more sources
Robust and Effective Component-based Banknote Recognition by SURF Features. [PDF]
WOCC, 2011 Camera-based computer vision technology is able to assist visually impaired people to automatically recognize banknotes. A good banknote recognition algorithm for blind or visually impaired people should have the following features: 1) 100% accuracy, and 2) robustness to various conditions in different environments and occlusions.
Hasanuzzaman FM, Yang X, Tian Y.
europepmc +4 more sources
Banknote serial number recognition using deep learning [PDF]
Multimedia Tools and Applications, 2021 In this paper, we recognize serial numbers on banknotes using deep learning. The samples used in this paper are digital images which have been preprocessed with data labelling and data augmentation, e.g., scaling transformation, etc. The algorithms based on deep learning are proposed and have the stability for serial number recognition with complex ...
Xin Ma, Wei Qi Yan
openaire +1 more source
Robust and Effective Component-based Banknote Recognition for the Blind. [PDF]
IEEE Trans Syst Man Cybern C Appl Rev, 2012 We develop a novel camera-based computer vision technology to automatically recognize banknotes for assisting visually impaired people. Our banknote recognition system is robust and effective with the following features: 1) high accuracy: high true recognition rate and low false recognition rate, 2) robustness: handles a variety of currency designs and
Hasanuzzaman FM, Yang X, Tian Y.
europepmc +4 more sources