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Arbitrary-shaped scene text detection with keypoint-based shape representation

文献类型：期刊论文

作者Qin, Shuxin1; Chen, Lin2
刊名INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
出版日期2022-03-25
页码13
关键词Arbitrary-shaped text detection Keypoint regression Anchor-free method Feature fusing
ISSN号1433-2833
DOI10.1007/s10032-022-00396-6
通讯作者Qin, Shuxin(qinshuxiin@pmlabs.com.cn)
英文摘要Recently scene text detection has become a hot research topic. Arbitrary-shaped text detection is more challenging due to the irregular geometry of the texts such as long curved shapes. Most existing works attempt to solve the problem by using bottom-up methods, followed by heuristic post-processing, or top-down methods with boundary regression. Through analysis and comparison, we present an efficient framework to detect arbitrary-shaped text by fusing bottom-up and top-down methods. Specifically, we use a segmentation method as the bottom-up detector to regress the text areas. We employ an anchor-free method as the top-down detector to represent and distinguish each text based on the results of bottom-up detector. To detect text with arbitrary shapes, we propose a keypoint-based shape representation method, which treats a text as several keypoints linked together. Then, keypoints are regressed by the top-down detector. With the keypoint-based shape representation, the detected text can be easily rectified by Thin Plate Spline (TPS) transformation, and the framework can be directly extended to support end-to-end text spotting. Extensive experiments on several public benchmarks, including both regular-shaped and arbitrary-shaped scene texts in natural images, demonstrate that our method has achieved state-of-the-art performance .
WOS关键词IMAGES
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000773174500001
出版者SPRINGER HEIDELBERG
源URL[http://ir.ia.ac.cn/handle/173211/48176]  
专题融合创新中心_决策指挥与体系智能
通讯作者Qin, Shuxin
作者单位1.Purple Mt Labs, 9 Mozhou East Rd, Nanjing, Peoples R China
2.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Shuxin,Chen, Lin. Arbitrary-shaped scene text detection with keypoint-based shape representation[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2022:13.
APA Qin, Shuxin,&Chen, Lin.(2022).Arbitrary-shaped scene text detection with keypoint-based shape representation.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,13.
MLA Qin, Shuxin,et al."Arbitrary-shaped scene text detection with keypoint-based shape representation".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (2022):13.

入库方式： OAI收割

来源：自动化研究所

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