MSER Fast Skewed Scene-text Location Algorithm
Aiming at the problem that text localization requires a large number of training samples in natural scenes, which leads to low speed of algorithm running and it is difficult to locate skewed text, a fast natural scene skewed text localization algorithm based on maximally stable extremal regions (MSE...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2019-04-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1663 |
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| _version_ | 1849330124844957696 |
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| author | ZHANG Kai-yu SHAO Kang-yi LU Di |
| author_facet | ZHANG Kai-yu SHAO Kang-yi LU Di |
| author_sort | ZHANG Kai-yu |
| collection | DOAJ |
| description | Aiming at the problem that text localization requires a large number of training samples in natural scenes, which leads to low speed of algorithm running and it is difficult to locate skewed text, a fast natural scene skewed text localization algorithm based on maximally stable extremal regions (MSER) with hierarchical clustering is proposed . The method of MSER ellipse fitting is used to select the maximally stable extremal regions of the images, and according to the characteristics of the fitting ellipse and its position on the images, the majority of non-text regions are filtered out and the text candidate regions are selected. By using the idea of hierarchical clustering, the text regions can be clustered gradually and merged into text regions rapidly. Finally the individual text regions are merged into word regions, which can achieve efficient localization of skewed scenes. Experimental results show that the speed of this algorithm has improved significantly without loss of locating accuracy compared with traditional positioning algorithms. |
| format | Article |
| id | doaj-art-652027a6a2cc476bab6b51bedb9d2c42 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-652027a6a2cc476bab6b51bedb9d2c422025-08-20T03:47:03ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-04-012402818810.15938/j.jhust.2019.02.012MSER Fast Skewed Scene-text Location AlgorithmZHANG Kai-yu0SHAO Kang-yi1LU Di2School of Electrical and Electronic Engineering,Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Electrical and Electronic Engineering,Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Electrical and Electronic Engineering,Harbin University of Science and Technology, Harbin 150080, ChinaAiming at the problem that text localization requires a large number of training samples in natural scenes, which leads to low speed of algorithm running and it is difficult to locate skewed text, a fast natural scene skewed text localization algorithm based on maximally stable extremal regions (MSER) with hierarchical clustering is proposed . The method of MSER ellipse fitting is used to select the maximally stable extremal regions of the images, and according to the characteristics of the fitting ellipse and its position on the images, the majority of non-text regions are filtered out and the text candidate regions are selected. By using the idea of hierarchical clustering, the text regions can be clustered gradually and merged into text regions rapidly. Finally the individual text regions are merged into word regions, which can achieve efficient localization of skewed scenes. Experimental results show that the speed of this algorithm has improved significantly without loss of locating accuracy compared with traditional positioning algorithms.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1663scene textmaximally stable extremal regionshierarchical clusteringellipse fitting |
| spellingShingle | ZHANG Kai-yu SHAO Kang-yi LU Di MSER Fast Skewed Scene-text Location Algorithm Journal of Harbin University of Science and Technology scene text maximally stable extremal regions hierarchical clustering ellipse fitting |
| title | MSER Fast Skewed Scene-text Location Algorithm |
| title_full | MSER Fast Skewed Scene-text Location Algorithm |
| title_fullStr | MSER Fast Skewed Scene-text Location Algorithm |
| title_full_unstemmed | MSER Fast Skewed Scene-text Location Algorithm |
| title_short | MSER Fast Skewed Scene-text Location Algorithm |
| title_sort | mser fast skewed scene text location algorithm |
| topic | scene text maximally stable extremal regions hierarchical clustering ellipse fitting |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1663 |
| work_keys_str_mv | AT zhangkaiyu mserfastskewedscenetextlocationalgorithm AT shaokangyi mserfastskewedscenetextlocationalgorithm AT ludi mserfastskewedscenetextlocationalgorithm |