DocumentCode
2190959
Title
MCBP neural network formation for efficient recognition of tire sorting code by image processing
Author
Koo, GunSeo ; Oh, HaeSeok
Author_Institution
Dept. of Comput. Sci., Soong Eui Women´´s Junior Coll., Seoul, South Korea
fYear
1996
fDate
18-21 Nov 1996
Firstpage
524
Lastpage
527
Abstract
We implement a tire code recognition system using image processing and neural networks. In order to construct an automatic tire sorting system, a DOT code is extracted into individual characters by image processing and then recognized through a neural network. The aim of this study is to construct the MCBP network which identifies individual characters of the tire code by image processing and to study experimentally the performance and recognition rate
Keywords
backpropagation; character recognition; feature extraction; image classification; image processing; sorting; DOT code; MCBP neural network formation; automatic tire sorting system; image processing; individual character identification; multichained backpropagation network; recognition rate; tire sorting code recognition; Acoustic reflection; Character recognition; Educational institutions; Image analysis; Image processing; Image recognition; Neural networks; Sorting; Tires; US Department of Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996., IEEE Asia Pacific Conference on
Conference_Location
Seoul
Print_ISBN
0-7803-3702-6
Type
conf
DOI
10.1109/APCAS.1996.569329
Filename
569329
Link To Document