Bulgarian Banknotes Denomination Classification using Transfer Learning

Since the rise of Artificial Intelligence, image classification has played a pivotal role in assistive technologies for aiding the visually impaired. This research paper explores the application of transfer learning for the classification of Bulgarian banknote images, aiming to develop an effective and efficient method for identifying various denominations, and its potential for integration into assistive technologies. The study highlights the benefits of transfer learning in data-scarce scenarios by showing how it improves the performance and accuracy of specialized image classification.

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Published
2024-09-13
DOI
https://doi.org/10.1109/comsci63166.2024.10778514
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
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article

Bulgarian Banknotes Denomination Classification using Transfer Learning

Mustafa Zuhear Nayef, Georgi Zapryanov, Iva Nikolova
Currency Recognition and Detection
article

Bulgarian Banknotes Denomination Classification using Transfer Learning

Mustafa Zuhear Nayef, Georgi Zapryanov, Iva Nikolova
article en

Abstract

Since the rise of Artificial Intelligence, image classification has played a pivotal role in assistive technologies for aiding the visually impaired. This research paper explores the application of transfer learning for the classification of Bulgarian banknote images, aiming to develop an effective and efficient method for identifying various denominations, and its potential for integration into assistive technologies. The study highlights the benefits of transfer learning in data-scarce scenarios by showing how it improves the performance and accuracy of specialized image classification.

Technical University of Sofia (BG)
Decent work and economic growth
Openalex Percentile: Top 78%
Currency Recognition and Detection
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