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
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MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People
Mathematics, 2023 With the proliferation of smartphones and advancements in deep learning technologies, object recognition using built-in smartphone cameras has become possible.
Chanhum Park, Kang Ryoung Park
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
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Dataset of Indian and Thai banknotes with annotations [PDF]
Data in Brief, 2022 Multinational banknote detection in real time environment is the open research problem for the research community. Several studies have been conducted for providing solution for fast and accurate recognition of banknotes, detection of counterfeit ...
Vidula Meshram +2 more
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Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition [PDF]
Tongxin xuebao, 2018 New feature extraction algorithm was proposed based on quaternion common spatial pattern in order to solve the lack of effective description of phase information in the banknote feature extraction and analysis. Firstly, the quaternion matrix was utilized
Shan GAI
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JaalTaka: A benchmark dataset for detecting counterfeit Bangladeshi banknotesMendeley Data [PDF]
Data in BriefThe rapid spread of counterfeit currency threatens global economic stability by undermining public confidence and distorting financial systems. These challenges are particularly severe in cash-dependent economies, where reduced trust in paper currency ...
Bibhas Roy Chowdhury Piyas +4 more
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Kazakh banknote image dataset. [PDF]
Data BriefThis paper presents an image dataset of Kazakh banknotes collected for research in computer vision and pattern recognition. The dataset contains photographs of banknotes from seven categories corresponding to the denominations 500, 1000, 2000, 5000, 10 ...
Sadyk U, Yerzhan M, Turan C, Wang H.
europepmc +2 more sources
BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data [PDF]
Data in BriefAutomated classification of banknotes is essential for financial security and e-transaction systems. Conventional manual authentication is time-consuming and error-prone, which necessitates automated systems.
Md. Naimul Islam Nuhash, Sadia Akter
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KZ-BD: Dataset of Kazakhstan banknotes with annotations [PDF]
Data in BriefThe field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like ...
Ualikhan Sadyk +3 more
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Sensors, 2016 Fitness classification is a technique to assess the quality of banknotes in order to determine whether they are usable. Banknote classification techniques are useful in preventing problems that arise from the circulation of substandard banknotes (such as
Seung Yong Kwon +4 more
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