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Real-time Yemeni Currency Detection

arXiv 2406.13034 ↗First posted 18 Jun 2024cs.CV cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 14 references that are in the map. First posted on arXiv 18 Jun 2024.

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References · 1

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096

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