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Real-time Yemeni Currency Detection

Authors :
AL-Edreesi, Edrees
Al-Gaphari, Ghaleb
Publication Year :
2024

Abstract

Banknote recognition is a major problem faced by visually Challenged people. So we propose a application to help the visually Challenged people to identify the different types of Yemenian currencies through deep learning technique. As money has a significant role in daily life for any business transactions, real-time detection and recognition of banknotes become necessary for a person, especially blind or visually impaired, or for a system that sorts the data. This paper presents a real-time Yemeni currency detection system for visually impaired persons. The proposed system exploits the deep learning approach to facilitate the visually impaired people to prosperously recognize banknotes. For real-time recognition, we have deployed the system into a mobile application.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2406.13034
Document Type :
Working Paper