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- Publisher Website: 10.1109/ICASSP.2005.1416316
- Scopus: eid_2-s2.0-33646850374
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Conference Paper: Adaptive Fréchet Kernel based support vector machine for text detection
| Title | Adaptive Fréchet Kernel based support vector machine for text detection |
|---|---|
| Authors | |
| Issue Date | 2005 |
| Citation | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, v. V, p. 365-368 How to Cite? |
| Abstract | In this paper, a novel general paradigm for text detection using support vector machine (SVM) is proposed. Unlike prevailing techniques in the literature, our adaptive SVM incorporates information from each input image. In addition, for better classification results and higher efficiency, a novel kernel called the Fréchet Kernel is presented for SVM classification. The adaptive SVM aims to serve as a general paradigm to improve the prevailing techniques. In the experiment, we apply the paradigm to a simple algorithm and successfully obtain a new competitive method for text detection. © 2005 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/336030 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hu, Shiyan | - |
| dc.contributor.author | Chen, Minya | - |
| dc.date.accessioned | 2024-01-15T08:22:10Z | - |
| dc.date.available | 2024-01-15T08:22:10Z | - |
| dc.date.issued | 2005 | - |
| dc.identifier.citation | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, v. V, p. 365-368 | - |
| dc.identifier.issn | 1520-6149 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/336030 | - |
| dc.description.abstract | In this paper, a novel general paradigm for text detection using support vector machine (SVM) is proposed. Unlike prevailing techniques in the literature, our adaptive SVM incorporates information from each input image. In addition, for better classification results and higher efficiency, a novel kernel called the Fréchet Kernel is presented for SVM classification. The adaptive SVM aims to serve as a general paradigm to improve the prevailing techniques. In the experiment, we apply the paradigm to a simple algorithm and successfully obtain a new competitive method for text detection. © 2005 IEEE. | - |
| dc.language | eng | - |
| dc.relation.ispartof | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | - |
| dc.title | Adaptive Fréchet Kernel based support vector machine for text detection | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/ICASSP.2005.1416316 | - |
| dc.identifier.scopus | eid_2-s2.0-33646850374 | - |
| dc.identifier.volume | V | - |
| dc.identifier.spage | 365 | - |
| dc.identifier.epage | 368 | - |