DocumentCode :
314895
Title :
Determining the location of industrial bar-codes using neural networks
Author :
Howlett, R.J. ; Berthier, S. ; Awcock, G.J.
Author_Institution :
Univ. of Brighton, UK
Volume :
2
fYear :
1997
fDate :
14-17 Jul 1997
Firstpage :
511
Abstract :
Although bar-codes are normally thought of in the context of the labelling of products in retail situations, they increasingly find use in a manufacturing context for identification purposes. This paper describes a technique which locates bar-codes in a computer image of a manufacturing cell. The bar-code detecting sub-system is based on a neural network. Two neural network paradigms (the multilayer perceptron and the radial basis function networks) are compared for use in this application. The work is part of a programme of research in which the aim is to develop a system which locates and decode bar-codes in real-time
Keywords :
bar codes; bar-code detecting subsystem; computer image; identification; industrial bar-codes location; manufacturing cell; multilayer perceptron; neural networks; product labelling; radial basis function networks; real-time system; research programme; retail;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
ISSN :
0537-9989
Print_ISBN :
0-85296-692-X
Type :
conf
DOI :
10.1049/cp:19970946
Filename :
615578
Link To Document :
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