Real-time Yemeni Currency Detection

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[Submitted on 18 Jun 2024]

View a PDF of the paper titled Real-time Yemeni Currency Detection, by Edrees AL-Edreesi and Ghaleb Al-Gaphari

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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.

Submission history

From: Edrees Al-Edreesi [view email]
[v1]
Tue, 18 Jun 2024 19:57:15 UTC (2,207 KB)



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