Scene text detection using graph model built upon maximally stable extremal regions
文献类型：期刊论文
| 作者 | Shi, Cunzhao ; Wang, Chunheng; Xiao, Baihua; Zhang, Yang; Gao, Song
|
| 刊名 | PATTERN RECOGNITION LETTERS
 |
| 出版日期 | 2013-01-15 |
| 卷号 | 34期号:2页码:107-116 |
| 关键词 | Scene text detection MSER Graph model Cost function Graph cut |
| 英文摘要 | Scene text detection could be formulated as a bi-label (text and non-text regions) segmentation problem. However, due to the high degree of intraclass variation of scene characters as well as the limited number of training samples, single information source or classifier is not enough to segment text from non-text background. Thus, in this paper, we propose a novel scene text detection approach using graph model built upon Maximally Stable Extremal Regions (MSERs) to incorporate various information sources into one framework. Concretely, after detecting MSERs in the original image, an irregular graph whose nodes are MSERs, is constructed to label MSERs as text regions or non-text ones. Carefully designed features contribute to the unary potential to assess the individual penalties for labeling a MSER node as text or non-text, and color and geometric features are used to define the pairwise potential to punish the likely discontinuities. By minimizing the cost function via graph cut algorithm, different information carried by the cost function could be optimally balanced to get the final MSERs labeling result. The proposed method is naturally context-relevant and scale-insensitive. Experimental results on the ICDAR 2011 competition dataset show that the proposed approach outperforms state-of-the-art methods both in recall and precision. (C) 2012 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | VIDEO FRAMES ; IMAGES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000313608500001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3760]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队 |
| 作者单位 | Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Cunzhao,Wang, Chunheng,Xiao, Baihua,et al. Scene text detection using graph model built upon maximally stable extremal regions[J]. PATTERN RECOGNITION LETTERS,2013,34(2):107-116. |
| APA | Shi, Cunzhao,Wang, Chunheng,Xiao, Baihua,Zhang, Yang,&Gao, Song.(2013).Scene text detection using graph model built upon maximally stable extremal regions.PATTERN RECOGNITION LETTERS,34(2),107-116. |
| MLA | Shi, Cunzhao,et al."Scene text detection using graph model built upon maximally stable extremal regions".PATTERN RECOGNITION LETTERS 34.2(2013):107-116. |
入库方式： OAI收割
来源：自动化研究所
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