Name
Title | ||
|---|---|---|
Chinese character recognition method based on multi-features and parallel neural network computation |
Abstract | ||
|---|---|---|
Based on neural network with favorable adaptability to handwritten Chinese character multi-features, in this paper a new method is proposed, using existing multi-features as inputs to structure multi neural network recognition subsystems and these subsystems are integrated with parallel connection mode. The integrated system has the lowest false recognition rate. When using traditional von Neumann architecture computer to implement this system, the system response time is longer as a result of serial computation. This paper introduces a kind of parallel computation method of using pc cluster to implement multi subsystems. It can reduce effectively recognition system's response time. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74171-8_112 | ICIC (1) |
Keywords | Field | DocType |
handwritten chinese character multi-features,chinese character recognition method,multi neural network recognition,neural network,recognition system,integrated system,parallel neural network computation,new method,multi subsystems,existing multi-features,lowest false recognition rate,system response time,parallel computer,integrable system,cluster,feature extraction,parallel computation | Adaptability,Character recognition,Computer science,Response time,Feature extraction,Time delay neural network,Artificial intelligence,Artificial neural network,Von Neumann architecture,Machine learning,Computation | Conference |
Volume | ISSN | ISBN |
4681 | 0302-9743 | 3-540-74170-4 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanfang Li | 1 | 99 | 13.44 |
| Huamin Yang | 2 | 19 | 17.29 |
| Jing Xu | 3 | 0 | 0.34 |
| Wei He | 4 | 0 | 3.04 |
| Jingtao Fan | 5 | 8 | 3.53 |