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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74658996/ |
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| _version_ | 1850094319075065856 |
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| author | WANG Wei-qiang1 FU Li-bo1 GAO Wen1 HUANG Qing-ming1 JIANG Shu-qiang1 |
| author_facet | WANG Wei-qiang1 FU Li-bo1 GAO Wen1 HUANG Qing-ming1 JIANG Shu-qiang1 |
| author_sort | WANG Wei-qiang1 |
| collection | DOAJ |
| description | 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。 |
| format | Article |
| id | doaj-art-b958fcbbdaed419085993876edf931e9 |
| institution | DOAJ |
| issn | 1000-436X |
| language | zho |
| publishDate | 2007-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b958fcbbdaed419085993876edf931e92025-08-20T02:41:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-0111612074658996Text detection based on stroke featuresWANG Wei-qiang1FU Li-bo1GAO Wen1HUANG Qing-ming1JIANG Shu-qiang1A 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。http://www.joconline.com.cn/zh/article/74658996/text detectionsupport vector machine |
| spellingShingle | WANG Wei-qiang1 FU Li-bo1 GAO Wen1 HUANG Qing-ming1 JIANG Shu-qiang1 Text detection based on stroke features Tongxin xuebao text detection support vector machine |
| title | Text detection based on stroke features |
| title_full | Text detection based on stroke features |
| title_fullStr | Text detection based on stroke features |
| title_full_unstemmed | Text detection based on stroke features |
| title_short | Text detection based on stroke features |
| title_sort | text detection based on stroke features |
| topic | text detection support vector machine |
| url | http://www.joconline.com.cn/zh/article/74658996/ |
| work_keys_str_mv | AT wangweiqiang1 textdetectionbasedonstrokefeatures AT fulibo1 textdetectionbasedonstrokefeatures AT gaowen1 textdetectionbasedonstrokefeatures AT huangqingming1 textdetectionbasedonstrokefeatures AT jiangshuqiang1 textdetectionbasedonstrokefeatures |