Bill classification by using the LVQ method
Tatsuro KOSAKA, S. Ōmatu, T. Fujinaka · 2002
For pattern classification problems the neuro-pattern recognition, which is the pattern recognition based on the neural network approach, has been increasingly popular since it can classify various patterns similar to human beings. In this paper we adopt the learning vector quantization (LVQ) method to classify the various bank notes. The reasons to use LVQ are that it can process the unsupervised classification and treat many input data with small computational burdens. We construct the LVQ network to classify the Italian Liras. Compared with a conventional pattern matching technique, which has been adopted as a classification method, the proposed method has shown excellent classification results.