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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaojun Li Weiqiang Wang Shuqiang Jiang Qingming Huang Wen Gao |
| Copyright Year | 2008 |
| Description | Author affiliation: Key Lab. of Intell. Info. Process., Chinese Acad. of Sci., Beijing (Shuqiang Jiang; Wen Gao) || Grad. Univ. of Chinese Acad. of Sci., Beijing (Xiaojun Li; Weiqiang Wang; Qingming Huang) |
| Abstract | Text in images and videos is a significant cue for visual content understanding and retrieval. In this paper, we present a fast and effective approach to locate text lines even under complex background. First, our algorithm uses the stroke filter to calculate the stroke maps in horizontal, vertical, left-diagonal, right-diagonal directions. Then a 24- dimensional feature is extracted for each sliding window and a SVM is used to obtain rough text regions. The rough text regions are further refined through a group of rules. And candidate text lines were localized more accurately through projection profile of the refined text regions. Finally another SVM classifier based on a 6-dimensional feature is used to verify the candidate text lines. The experimental results on challenging databases show that this approach can fast and effectively detect and localize text lines. |
| Starting Page | 969 |
| Ending Page | 972 |
| File Size | 836536 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417650 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2008.4711918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Filters Support vector machine classification Feature extraction Videos Learning systems Detectors Machine learning algorithms Flowcharts Image retrieval SVM Text Detection Stroke Filter |
| Content Type | Text |
| Resource Type | Article |
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