Name
Abstract | ||
|---|---|---|
A new stick text segmentation method based on the sub connected area analysis is introduced in this paper. The foundation
of this method is the sub connected area representation of text image that can represent all connected areas in an image efficiently.
This method consists mainly of four steps: sub connected area classification, finding initial boundary following point, finding
optimal segmentation point by boundary tracing, and text segmentation. This method is similar to boundary analysis method
but is more efficient than boundary analysis. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BF02946614 | Journal of Computer Science and Technology |
Keywords | DocType | Volume |
stick text,sub connected area,text segmentation,information analysis,edge detection,image segmentation,image classification,optical character recognition,pixel,computer science | Journal | 13 |
Issue | ISSN | ISBN |
1 | 1860-4749 | 0-8186-7898-4 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingbo Gao | 1 | 53 | 6.49 |
| Xinyou Li | 2 | 3 | 1.15 |
| Zesheng Tang | 3 | 149 | 28.27 |
| 高静波 | 4 | 0 | 0.34 |
| 李新友 | 5 | 0 | 0.34 |