DocumentCode
3476469
Title
Classification of the Italian Liras using the LVQ method
Author
Kosaka, Toshihisa ; Omatu, Sigeru
Author_Institution
Glory TD Himeji, Japan
Volume
6
fYear
1999
fDate
1999
Firstpage
845
Abstract
For pattern classification problems, neuro-pattern recognition which is pattern recognition based on a neural network approach has been paid attention since it can classify various patterns like human beings. We adopt the learning vector quantization(LVQ) method to classify various bill money. The reasons to use LVQ are that it can process unsupervised classification and treat many input data with small computational burden. We construct a LVQ network to classify 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
image classification; image matching; neural nets; unsupervised learning; vector quantisation; Italian Lira; LVQ method; bill money; learning vector quantization; unsupervised classification; Biological neural networks; Focusing; Humans; Neurons; Office automation; Pattern classification; Pattern matching; Pattern recognition; Pixel; Size measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.816662
Filename
816662
Link To Document