A comprehensive dataset of damaged banknotes in Indian currency (Rupees) for analysis and classification [PDF]
Data in Brief, 2023 Detecting authentic and quality banknotes presents a significant challenge, particularly for individuals with low vision or visual impairments. Extensive research has been dedicated to achieving accurate banknote detection.
Vishal Meshram +2 more
exaly +4 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 ...
Eveling Castro +2 more
exaly +4 more sources
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 ...
Cemil Turan +2 more
exaly +4 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
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
doaj +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
doaj +2 more sources
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
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
doaj +2 more sources
GC3558: An open-source annotated dataset of Ghana currency images for classification modeling [PDF]
Data in Brief, 2022 The field of deep learning has led to remarkable advancements in many areas, including banking. Identifying currency denomination type and model is challenging due to intraclass variation and different illumination conditions.
Kwabena Adu +6 more
doaj +2 more sources
Multispectral UV Imaging on Capacitive CMOS Arrays Enabled by Solution-Processed Metal-Oxide Nanoparticles. [PDF]
Adv Sci (Weinh)Ultraviolet (UV) imagers are important for a variety of applications but often require dedicated semiconductor process flows. Here, a versatile capacitive CMOS platform is transformed into a visible‐blind, multispectral UV imager through post‐CMOS functionalization with solution‐processed metal‐oxide nanoparticles. The UV‐induced photodielectric effect
Kundu S +5 more
europepmc +2 more sources