Reliable Banknote Classification Using Neural Networks

@article{Omatu2009ReliableBC,
  title={Reliable Banknote Classification Using Neural Networks},
  author={Sigeru Omatu and Michifumi Yoshioka and Yoshihisa Kosaka},
  journal={2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences},
  year={2009},
  pages={35-40}
}
We present a method based on principal component analysis (PCA) for increasing the reliability of banknote recognition. The system is intended for classifying any kind of currency, but in this paper we examine only US dollars (six different bill types). The data was acquired through an advanced line sensor, and after preprocessing, the PCA algorithm was used to extract the main features of data and to reduce the data size. A linear vector quantization (LVQ) network was applied as the main… CONTINUE READING
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