DocumentCode
1949440
Title
Optimised hand-printed character recognition using neural network cascades
Author
Amiri, A. ; Du, L. ; Downton, A.C. ; Lucas, S.M. ; Goh, S.L.
Author_Institution
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
fYear
1996
fDate
35208
Firstpage
42430
Lastpage
42434
Abstract
The sn-tuple classifier based character recogniser has achieved significantly higher computational efficiency than most other current handwritten character recognisers with similar recognition performance. By combining the sn-tuple classifier with other classifiers, it is possible to further improve recognition rates while retaining its efficiency advantages. In this paper, we present theoretical justification and experimental results to support this development
Keywords
computational complexity; neural nets; optical character recognition; optimisation; computational efficiency; neural network cascades; optimised hand-printed character recognition; sn-tuple classifier;
fLanguage
English
Publisher
iet
Conference_Titel
Handwriting Analysis and Recognition - A European Perspective, IEE Workshop on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19960923
Filename
543756
Link To Document