CRF based text detection for natural scene images using convolutional neural network and context information

doi:10.1016/j.neucom.2017.12.058

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	CRF based text detection for natural scene images using convolutional neural network and context information
	Wang, Yanna; Shi, Cunzhao; Xiao, Baihua; Wang, Chunheng; Qi, Chengzuo
刊名	NEUROCOMPUTING
	2018-06-21
卷号	295 页码:46-58
关键词	Scene Text Detection Mser Cnn Crf Context Information Shape-specific Classifiers
DOI	10.1016/j.neucom.2017.12.058
文献子类	Article
英文摘要	This paper presents a novel scene text detection method based on conditional random field (CRF) framework. We estimate the confidence of Maximally Stable Extremal Region (MSER) being text by leveraging convolutional neural network (CNN) to define the unary cost item. In addition, we establish the neighboring interactions for MSERs using four different features including color, shape, stroke and spatial features to define the pairwise cost item. Considering the special layout of texts appearing in natural scene images, we employ context information to recover missing text MSER candidates. Furthermore, text MSERs are grouped into candidate text lines which are verified with shape-specific classifiers by integrating gray and binary features. Experimental results on four public benchmark datasets show that the proposed method achieves the comparable performance. (C) 2018 Elsevier B.V. All rights reserved.
WOS关键词	STABLE EXTREMAL REGIONS ; READING TEXT ; SEGMENTATION ; LOCALIZATION ; ALGORITHM
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000430227300005
资助机构	National Natural Science Foundation of China (NSFC)(61601462 ; 61531019 ; 71621002)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/22006]
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	Univ Chinese Acad Sci, Inst Automat Chinese Acad Sci CASIA, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yanna,Shi, Cunzhao,Xiao, Baihua,et al. CRF based text detection for natural scene images using convolutional neural network and context information[J]. NEUROCOMPUTING,2018,295:46-58.
APA	Wang, Yanna,Shi, Cunzhao,Xiao, Baihua,Wang, Chunheng,&Qi, Chengzuo.(2018).CRF based text detection for natural scene images using convolutional neural network and context information.NEUROCOMPUTING,295,46-58.
MLA	Wang, Yanna,et al."CRF based text detection for natural scene images using convolutional neural network and context information".NEUROCOMPUTING 295(2018):46-58.