Abstract
Two methods for large scale handwritten character recognition were developed, namely the Combination method (CM) and the Uniform Division Method (UDM). The Combination Method constructs the subspace from several groups, including different number of samples divided from the whole training samples, thus, the CM has 97.76 % recognition rate. The Uniformly Distributed method, on the other hand, uses the uniformly divided training samples, thus, it has a 98.64% recognition rate.
| Original language | English |
|---|---|
| Pages (from-to) | 432-437 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1996 Dec 1 |
| Event | Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China Duration: 1996 Oct 14 → 1996 Oct 17 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture