Results 141 to 150 of about 1,702,697 (182)

Automated Currency Identification: A CNN Approach to Philippine Banknote Recognition

2024 IEEE International Conference on Imaging Systems and Techniques (IST)
Currency banknotes are essential parts of people's daily monetary transactions. Banknotes, such as Philippine banknotes, incorporate enhanced security features, making it counterfeit-proof, and improved designs for easier recognition.
Robert G. de Luna, Rai Racel Armando, Mark Louie Bocalbos, Jamaica Fernandez, Krystel Anne Malacaman, Jesirie Natividad, Jan Jadrien Ramos, Shaina Marie Salcedo, Melani L. Castillo   +8 more
semanticscholar   +2 more sources

Hybrid discriminative models for banknote recognition and anti-counterfeit

2018 5th NAFOSTED Conference on Information and Computer Science (NICS), 2018
Nowadays, advanced technology has played an important task in circulation of anti-counterfeit notes economy. It is essential that requires an efficient solution to detect fake banknotes.
Van-Dung Hoang, Hoang-Thanh Vo
semanticscholar   +2 more sources

Malaysian Banknote Recognition App for the Visually Impaired Using Deep Learning

2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS), 2023
Banknotes are used worldwide, enabling people to exchange products and services. However, visually impaired and blind (VIB) individuals may face difficulties handling banknotes, especially faded or worn banknotes. Therefore, this research proposed a real-
Nurul Izzah Mohd Hanafiah, Yuzi Mahmud, Muhammad Hazimmuddin bin Hussin, Siti Nur Kamaliah Kamarudin   +3 more
semanticscholar   +1 more source

Indian Banknote Recognition using Convolutional Neural Network

2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018
This paper presents a deep learning-based method for identification of denominations of Indian Currency Rupee notes from their color images. A classification framework has been implemented using the concept of transfer learning where a large convolutional neural network pre-trained on millions of natural images is employed for classification of images ...
Shubham Mittal, Shiva Mittal
semanticscholar   +2 more sources

Banknote Denomination Recognition on Mobile Devices

ECS Transactions, 2022
Several mobile applications have been developed to facilitate denomination detection for blind users. However, none of the existing applications allow for detecting multiple notes in a single frame and relaying the total denomination, nor is there a dataset available for the new Indian currency notes, annotated for object detection training.
Sohan M C, Akanksh A M, Anala M R, Hemavathy R   +3 more
openaire   +1 more source

A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition

IEEE Transactions on Instrumentation and Measurement, 2022
The high sensitivity and MEMS-compatible process of tunneling magnetoresistance (TMR) sensors provide great opportunities to develop high-resolution magnetic field detection and imaging systems.
Liqian Wang, Jingen Wu, Jiaming Liu, Ruohao Mao, M. Guan, D. Xian, Qi Mao, Chenying Wang, Zhiguang Wang, Zhuangde Jiang, Zhongqiang Hu, Ming Liu   +11 more
semanticscholar   +1 more source

Bangladeshi Banknote Recognition in Real-time using Convolutional Neural Network for Visually Impaired People

2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021
Visually impaired people face extreme difficulties in recognizing paper currencies for day-to-day transactions as the texture and shape of many currencies are very similar.
Rahnuma Tasnim, Sadia Tasnuva Pritha, Annesha Das, Ashim Dey   +3 more
semanticscholar   +1 more source

Mobile banknote recognition

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
Portable assistive devices are getting more and more widespread. Since most cell phones are nowadays equipped with cameras they can provide an easy way for blind and visually impaired people to obtain visual information about their environment. In this paper we present a banknote recognition system for our previously proposed mobile device, called the ...
Mihály Radványi, Zóra Solymár, Attila Stubendek, Kristóf Karacs   +3 more
openaire   +1 more source

Banknote recognition for visually impaired

2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011
Recognition of banknotes is a prevalent problem for blind and visually impaired people. The bionic eyeglass is a mobile platform that integrates several common visual detection and recognition functions. Relevant shapes are extracted from the image flow of the banknote shown to the mobile camera using adaptive thresholding and morphological shape ...
Zora Solymar, Attila Stubendek, Mihaly Radvanyi, Kristof Karacs   +3 more
openaire   +1 more source

Banknotes Serial Number Coding Recognition

2019 IEEE International Conference on Big Data (Big Data), 2019
Banknotes serial number coding is the main basis of bank’s supervision, currency circulation and authenticity verification, the traditional manual identification method can hardly meet the current needs of currency circulation and security control.
Ruru Xu, Jungang An, Liandeng Su, Xinli Min   +3 more
openaire   +1 more source