End-to-end scene text recognition using tree-structured models
文献类型：期刊论文
| 作者 | Shi, Cunzhao ; Wang, Chunheng; Xiao, Baihua; Gao, Song; Hu, Jinlong; Wang Chunheng
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2014-09-01 |
| 卷号 | 47期号:9页码:2853-2866 |
| 关键词 | End-to-end Scene text recognition Part-based tree-structured models (TSMs) Normalized pictorial structure |
| 英文摘要 | Detecting and recognizing text in natural images are quite challenging and have received much attention from the computer vision community in recent years. In this paper, we propose a robust end-to-end scene text recognition method, which utilizes tree-structured character models and normalized pictorial structured word models. For each category of characters, we build a part-based tree-structured model (TSM) so as to make use of the character-specific structure information as well as the local appearance information. The TSM could detect each part of the character and recognize the unique structure as well, seamlessly combining character detection and recognition together. As the TSMs could accurately detect characters from complex background, for text localization, we apply TSMs for all the characters on the coarse text detection regions to eliminate the false positives and search the possible missing characters as well. While for word recognition, we propose a normalized pictorial structure (PS) framework to deal with the bias caused by words of different lengths. Experimental results on a range of challenging public datasets (ICDAR 2003, ICDAR 2011, SVT) demonstrate that the proposed method outperforms state-of-the-art methods both for text localization and word recognition. (C) 2014 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | POSE ESTIMATION ; SEGMENTATION ; IMAGES ; LOCALIZATION ; DETECT ; WILD |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336872000006 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3759]  |
| 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 |
| 通讯作者 | Wang Chunheng |
| 作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Cunzhao,Wang, Chunheng,Xiao, Baihua,et al. End-to-end scene text recognition using tree-structured models[J]. PATTERN RECOGNITION,2014,47(9):2853-2866. |
| APA | Shi, Cunzhao,Wang, Chunheng,Xiao, Baihua,Gao, Song,Hu, Jinlong,&Wang Chunheng.(2014).End-to-end scene text recognition using tree-structured models.PATTERN RECOGNITION,47(9),2853-2866. |
| MLA | Shi, Cunzhao,et al."End-to-end scene text recognition using tree-structured models".PATTERN RECOGNITION 47.9(2014):2853-2866. |
入库方式： OAI收割
来源：自动化研究所
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