DocumentCode
396680
Title
Classification of the Italian Liras using the LVQ method
Author
Omatu, Sigeru ; Kosaka, Toshihisa ; Teranisi, Masaru
Author_Institution
Osaka Prefectural Univ., Sakai, Japan
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
2212
Abstract
For the pattern classification problems the neuro-pattern recognition which is the pattern recognition based on the neural network approach has been paid an attention since it can classify various patterns like human beings. In this paper, we adopt the learning vector quantization(LVQ) method to classify the various money. The reasons to use the LVQ are that it can process the unsupervised classification and treat many input data with small computational burdens. We will 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.
Keywords
bank data processing; neural nets; pattern classification; unsupervised learning; vector quantisation; Italian Liras classification; LVQ method; LVQ network; bank notes; computational burdens; learning vector quantization; money classification; neural network; pattern classification; unsupervised classification; Biological neural networks; Educational institutions; Humans; Neurons; Office automation; Pattern classification; Pattern matching; Pattern recognition; Pixel; Size measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223752
Filename
1223752
Link To Document