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
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;
Conference_Titel :
Handwriting Analysis and Recognition - A European Perspective, IEE Workshop on
Conference_Location :
London
DOI :
10.1049/ic:19960923
