Results 1 to 10 of about 8,228 (114)
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 +2 more sources
Journal of King Saud University: Computer and Information Sciences, 2017 Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Iyad Abu Doush, Sahar AL-Btoush
doaj +3 more sources
IEEE Access, 2022 Currency recognition has always been a troublesome task for blind and visually impaired people (BVIP). The problem is more severe in developing countries such as India, where there is still a lack of robust currency recognition systems.
Mandhatya Singh +4 more
doaj +3 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
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
Recognition of Handwritten Capitalized Chinese Currency Amounts Based on CNN and Finite State Automata [PDF]
Jisuanji gongcheng, 2021 The handwritten check recognition is a tough problem in pattern recognition.The challenge is that various handwriting styles and complex check backgrounds reduce the recognition accuracy.The capitalized Chinese currency amount is the most important part ...
YAN Ru, SUN Yongqi, ZHU Weiguo, LI Yuxia
doaj +1 more source
Real-time currency recognition on video using AKAZE algorithm
Jurnal Teknologi dan Sistem Komputer, 2021 Currency recognition is one of the essential things since everyone in any country must know money. Therefore, computer vision has been developed to recognize currency. One of the currency recognition uses the SIFT algorithm.
Faisal Dharma Adhinata +2 more
doaj +1 more source
Multi-Currency Integrated Serial Number Recognition Model of Images Acquired by Banknote Counters
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 +1 more source
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.
Vidula Meshram +4 more
doaj +1 more source
上海师范大学学报. 自然科学版, 2020 An automatic recognition system of paper currency serial numbers of the Republic of China was realized by deep learning in this paper. Firstly, the characters of paper currency serial numbers of the Republic of China were extracted and segmented ...
SHEN Chenglong, WANG Xiaomei, WANG Chen
doaj +1 more source