DocumentCode
1528387
Title
CNN cloning template: connected component detector
Author
Matsumoto, T. ; Chua, L.O. ; Suzuki, H.
Author_Institution
Dept. of Electr. Eng., Waseda Univ., Tokyo, Japan
Volume
37
Issue
5
fYear
1990
fDate
5/1/1990 12:00:00 AM
Firstpage
633
Lastpage
635
Abstract
An extremely simple cloning template for a cellular neural network (CNN) is presented that is capable of detecting the number of connected components of a vector in {+1, -1}N. By exploiting this capability, an architecture for a handwritten character recognition system was obtained. A preliminary test result (100 handwritten numbers, 0-9) shows 94-100% correct recognition rates
Keywords
character recognition; neural nets; CNN; cellular neural network; cloning template; connected component detector; handwritten character recognition system; handwritten numbers; recognition rates; vector; Cellular neural networks; Character recognition; Circuits and systems; Cloning; Detectors; Handwriting recognition; Testing;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.55003
Filename
55003
Link To Document