DocumentCode
1394420
Title
Multiple novelty input neural networks for unconstrained handwritten numeral recognition
Author
Lim, Kil-Taek ; Chien, Sung-II ; Kang, Soon-Ju
Author_Institution
Dept. of Electron., Kyungpook Nat. Univ., Taegu, South Korea
Volume
34
Issue
11
fYear
1998
fDate
5/28/1998 12:00:00 AM
Firstpage
1112
Lastpage
1113
Abstract
Multiple novelty input neural networks have been presented. It is shown that this method produces relatively good recognition accuracy for an unconstrained handwritten numeral database
Keywords
neural nets; handwritten numeral database; multiple novelty input neural networks; recognition accuracy; unconstrained handwritten numeral recognition;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19980769
Filename
684583
Link To Document