Methods for adaptive combination of classifiers with application to recognition of handwritten characters
โ Scribed by Matti Aksela; Ramunas Girdziusas; Jorma Laaksonen; Erkki Oja; Jari Kangas
- Publisher
- Springer-Verlag
- Year
- 2003
- Tongue
- English
- Weight
- 275 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1433-2833
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract There has been much research in recent decades on character recognition methods, and some methods have already been put into practical use. There are many unresolved problems, however, with respect to handwritten character recognition as composed with printed character recognition. The
A hierarchical random graph (HRG) representation for handwritten character modeling is presented. Based on the HRG, a Hangul, Korean scripts, recognition system also has been developed. In the HRG, the bottom layer is constructed with extended random graphs to describe various strokes, while the nex