A Hybrid Approach to Detect and Localize Texts in Natural Scene Images

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
	Pan, Yi-Feng; Hou, Xinwen; Liu, Cheng-Lin
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2011-03-01
卷号	20 期号:3 页码:800-813
文章类型	Article
摘要	Text detection and localization in natural scene images is important for content-based image analysis. This problem is challenging due to the complex background, the non-uniform illumination, the variations of text font, size and line orientation. In this paper, we present a hybrid approach to robustly detect and localize texts in natural scene images. A text region detector is designed to estimate the text existing confidence and scale information in image pyramid, which help segment candidate text components by local binarization. To efficiently filter out the non-text components, a conditional random field (CRF) model considering unary component properties and binary contextual component relationships with supervised parameter learning is proposed. Finally, text components are grouped into text lines/words with a learning-based energy minimization method. Since all the three stages are learning-based, there are very few parameters requiring manual tuning. Experimental results evaluated on the ICDAR 2005 competition dataset show that our approach yields higher precision and recall performance compared with state-of-the-art methods. We also evaluated our approach on a multilingual image dataset with promising results.
关键词	Conditional Random Field (Crf) Connected Component Analysis (Cca) Text Detection Text Localization
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ENERGY MINIMIZATION ; RANDOM-FIELDS ; VIDEO ; EXTRACTION ; CLASSIFICATION ; RECOGNITION ; ALGORITHM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000287400700016
引用统计	被引频次：267[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/173211/3056
专题	多模态人工智能系统全国重点实验室_模式分析与学习
作者单位	Chinese Acad Sci CASIA, Inst Automat, NLPR, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Pan, Yi-Feng,Hou, Xinwen,Liu, Cheng-Lin. A Hybrid Approach to Detect and Localize Texts in Natural Scene Images[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2011,20(3):800-813.
APA	Pan, Yi-Feng,Hou, Xinwen,&Liu, Cheng-Lin.(2011).A Hybrid Approach to Detect and Localize Texts in Natural Scene Images.IEEE TRANSACTIONS ON IMAGE PROCESSING,20(3),800-813.
MLA	Pan, Yi-Feng,et al."A Hybrid Approach to Detect and Localize Texts in Natural Scene Images".IEEE TRANSACTIONS ON IMAGE PROCESSING 20.3(2011):800-813.