Text detection based on stroke features
A text detection method was presented based on support vector machine（SVM） using the statistics features characterizing character strokes.First,our method extracts stroke edges through a modified edge detector;then,candidate text regions are located by merging the regions that contain stroke edges;f...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74658996/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A text detection method was presented based on support vector machine（SVM） using the statistics features characterizing character strokes.First,our method extracts stroke edges through a modified edge detector;then,candidate text regions are located by merging the regions that contain stroke edges;finally,a 32-dimensional feature is devised to reflect the unique spatial distribution of stroke edges,and the SVM is utilized to model and verify the candidate text re-gions.Our experiments on Chinese characters demonstrate the proposed stroke texture features have good distinction power,especially for text regions composed of many characters。 |
|---|---|
| ISSN: | 1000-436X |