| Unconstrained end-to-end text reading with feature rectification | |
Du, Chen1,2 ; Wang, Yanna1; Wang, Chunheng1; Xiao, Baihua1; Shi, Cunzhao1
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| 发表期刊 | PATTERN RECOGNITION LETTERS
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| ISSN | 0167-8655 |
| 2021-09-01 | |
| 卷号 | 149页码:1-8 |
| 通讯作者 | Wang, Chunheng(chunheng.wang@ia.ac.cn) |
| 摘要 | We propose an end-to-end trainable network that can simultaneously localize and recognize irregular text from images. Specifically, we find the feature incompatibility problem, which arises from the contradiction between detection and recognition tasks for feature extraction of the convolutional neural network, and propose to introduce the larger-scale features for the recognition part to improve the accuracy of recognition instead of using the same feature with the detection. To extract effective text features for perspective and curved text recognition, we propose a position-sensitive network to rectify the text proposal features in the recognition branch. The position-sensitive network, which is trained in a weak supervision way, takes the proposal detection feature as input and outputs the feature rectification information. Experiments demonstrate that the proposed method can achieve state-of-the-art or highly competitive performance compared with baselines on a number of benchmarks. (c) 2021 Elsevier B.V. All rights reserved. |
| 关键词 | Text recognition Text detection Position-sensitive network Features incompatibility End-to-end |
| DOI | 10.1016/j.patrec.2021.05.017 |
| 关键词[WOS] | NETWORK |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | Key Programs of the Chinese Academy of Sciences[ZDBSSSWJSC004] ; Key Programs of the Chinese Academy of Sciences[ZDBSSSWJSC005] ; National Natural Science Foundation of China (NSFC)[62073326] ; National Natural Science Foundation of China (NSFC)[62071469] |
| 项目资助者 | Key Programs of the Chinese Academy of Sciences ; National Natural Science Foundation of China (NSFC) |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000680052800001 |
| 出版者 | ELSEVIER |
| 七大方向——子方向分类 | 文字识别与文档分析 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/45650 |
| 专题 | 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 |
| 通讯作者 | Wang, Chunheng |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Du, Chen,Wang, Yanna,Wang, Chunheng,et al. Unconstrained end-to-end text reading with feature rectification[J]. PATTERN RECOGNITION LETTERS,2021,149:1-8. |
| APA | Du, Chen,Wang, Yanna,Wang, Chunheng,Xiao, Baihua,&Shi, Cunzhao.(2021).Unconstrained end-to-end text reading with feature rectification.PATTERN RECOGNITION LETTERS,149,1-8. |
| MLA | Du, Chen,et al."Unconstrained end-to-end text reading with feature rectification".PATTERN RECOGNITION LETTERS 149(2021):1-8. |
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| Unconstrained end-to（1133KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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