DocumentCode
416711
Title
A study on evaluating and improving the reliability of bank note neuro-classifiers
Author
Ahmadi, Ali ; Omatu, Sigeru ; Kosaka, Toshihisa
Author_Institution
Osaka Prefecture Univ., Sakai, Japan
Volume
3
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
2550
Abstract
This paper addresses the reliability of the bank note classifiers and a new method is proposed for improving the classification reliability based on the local principal components analysis (PCA). The reliability is evaluated by using an algorithm, which employs a function of winning class probability and second maximal probability in the LVQ classifier. The experimental results from 3,600 data samples show an increase up to 100% in the reliability of classification.
Keywords
bank data processing; image classification; neural nets; principal component analysis; bank note neuroclassifiers reliability; bank note recognition; principal components analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323648
Link To Document