Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression
He, Wenhao1,2; Zhang, Xu-Yao1,2; Yin, Fei1,2; Liu, Cheng-Lin1,2,3
2018-11-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号27期号:11页码:5406-5419
文章类型Article
摘要Multi-oriented and multi-lingual scene text detection plays an important role in computer vision area and is challenging due to the wide variety of text and background. In this paper, first, we point out the two key tasks when extending convolutional neural network (CNN)-based object detection frameworks to scene text detection. The first task is to localize the text region by a downsampled segmentation-based module, and the second task is to regress the boundaries of text region determined by the first task. Second, we propose a scene text detection framework based on fully convolutional network with a bi-task prediction module, in which one is a pixel-wise classification between the text and non-text and the other is pixel-wise regression to determine the vertex coordinates of quadrilateral text boundaries. Post-processing for word-level detection is based on non-maximum suppression, and for the line-level detection, we design a heuristic line segments grouping method to localize long text lines. We evaluated the proposed framework on various benchmarks, including multi-oriented and multi-lingual scene text data sets, and achieved the state-of-the-art performance on most of them. We also provide abundant ablation experiments to analyze several key factors in building high performance CNN-based scene text detection systems.
关键词Fully Convolutional Network Scene Text Detection Multi-oriented Multi-task
WOS标题词Science & Technology ; Technology
DOI10.1109/TIP.2018.2855399
关键词[WOS]NATURAL IMAGES
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China (NSFC)(61721004 ; NVIDIA NVAIL Program ; 61411136002 ; 61733007 ; 61633021)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000442340100005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21861
专题模式识别国家重点实验室_模式分析与学习
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
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He, Wenhao,Zhang, Xu-Yao,Yin, Fei,et al. Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,27(11):5406-5419.
APA He, Wenhao,Zhang, Xu-Yao,Yin, Fei,&Liu, Cheng-Lin.(2018).Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression.IEEE TRANSACTIONS ON IMAGE PROCESSING,27(11),5406-5419.
MLA He, Wenhao,et al."Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression".IEEE TRANSACTIONS ON IMAGE PROCESSING 27.11(2018):5406-5419.
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