Name
Abstract | ||
|---|---|---|
This paper presents a system for handwritten word recognition based on an analytical approach. Through a fast segmentation procedure, basic strokes are detected and used to recognize the word by a bottom-up approach. The system has been tested on the worded amounts on bankchecks. The experimental results show the effectiveness of the approach. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/3-540-60298-4_319 | ICIAP |
Keywords | Field | DocType |
robust analytical approach,handwritten word recognition,bottom up | Feature vector,Pattern recognition,Computer science,Segmentation,Word recognition,Handwriting recognition,Artificial intelligence,Intelligent word recognition | Conference |
ISBN | Citations | PageRank |
3-540-60298-4 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Congedo | 1 | 42 | 3.62 |
| Giovanni Dimauro | 2 | 190 | 24.09 |
| Sebastiano Impedovo | 3 | 217 | 26.47 |
| Giuseppe Pirlo | 4 | 234 | 34.30 |
| D. Sfregola | 5 | 0 | 0.34 |