DocumentCode
996973
Title
Improved handwritten character recognition using second-order information from training set
Author
Kovacs, Z.M. ; Ragazzoni, R. ; Rovatti, Riccardo ; Guerrieri, Roberto
Author_Institution
Dipartimento di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
Volume
29
Issue
14
fYear
1993
fDate
7/8/1993 12:00:00 AM
Firstpage
1308
Lastpage
1310
Abstract
The problem of improving the capability of statistical character classifiers based on finite and sparse training sets is addressed. A significant improvement is obtained coupling standard classifiers based on the k-nearest neighbours technique with a second higher level classification stage. This method has been applied to three existing classifiers reducing the error rate at zero rejection of approximately 17%.
Keywords
character recognition; statistical analysis; handwritten character recognition; k-nearest neighbours technique; second-order information; sparse training sets; statistical character classifiers;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19930873
Filename
252447
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