Scene text detection using graph model built upon maximally stable extremal regions

CASIA OpenIR > 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

	Scene text detection using graph model built upon maximally stable extremal regions
	Shi, Cunzhao; Wang, Chunheng; Xiao, Baihua; Zhang, Yang; Gao, Song
发表期刊	PATTERN RECOGNITION LETTERS
	2013-01-15
卷号	34 期号:2 页码:107-116
文章类型	Article
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.
关键词	Scene Text Detection Mser Graph Model Cost Function Graph Cut
WOS标题词	Science & Technology ; Technology
关键词[WOS]	VIDEO FRAMES ; IMAGES
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000313608500001
引用统计	被引频次：142[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3760
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
作者单位	Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
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.