Multi-National Banknote Classification Based on Visible-light Line Sensor and Convolutional Neural Network

@inproceedings{Pham2017MultiNationalBC,
  title={Multi-National Banknote Classification Based on Visible-light Line Sensor and Convolutional Neural Network},
  author={Tuyen Danh Pham and Dong Eun Lee and Kang Ryoung Park},
  booktitle={Sensors},
  year={2017}
}
Automatic recognition of banknotes is applied in payment facilities, such as automated teller machines (ATMs) and banknote counters. Besides the popular approaches that focus on studying the methods applied to various individual types of currencies, there have been studies conducted on simultaneous classification of banknotes from multiple countries. However, their methods were conducted with limited numbers of banknote images, national currencies, and denominations. To address this issue, we… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • Experiments conducted on the combined banknote image database of six countries with 62 denominations gave a classification accuracy of 100%, and results show that our proposed algorithm outperforms previous methods.

Citations

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