Deep Feature-Based Three-Stage Detection of Banknotes and Coins for Assisting Visually Impaired People

Author:

Park ChanhumORCID,Cho Se WoonORCID,Baek Na RaeORCID,Choi JihoORCID,Park Kang RyoungORCID

Funder

National Research Foundation of Korea

Ministry of Science and ICT (MSIT) through the Basic Science Research Program

NRF

MSIT through the Basic Science Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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1. SafeRoute: A Safer Outdoor Navigation Algorithm with Smart Routing for People with Visual Impairment;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26

2. Financial Foresight: Predictive Power of CNN-SVM in Fake Currency Detection Analysis;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

3. Jordanian banknote data recognition: A CNN-based approach with attention mechanism;Journal of King Saud University - Computer and Information Sciences;2024-04

4. The image dataset of Indian coins: A machine learning approach for Indian currency;Data in Brief;2024-04

5. A study on the attention of people with low vision to accessibility guidance signs;Journal on Multimodal User Interfaces;2023-10-26

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