Baselines Extraction from Curved Document Images via Slope Fields Recovery | |
Meng, Gaofeng1; Pan, Chunhong1; Xiang, Shiming1; Wu, Ying2 | |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
2020-04-01 | |
卷号 | 42期号:4页码:793-808 |
关键词 | Estimation Image segmentation Layout Distortion Strips Image quality Degradation Document image processing curved baselines extraction slope fields recovery geometric distortion rectification |
ISSN号 | 0162-8828 |
DOI | 10.1109/TPAMI.2018.2886900 |
英文摘要 | Baselines estimation is a critical preprocessing step for many tasks of document image processing and analysis. The problem is very challenging due to arbitrarily complicated page layouts and various types of image quality degradations. This paper proposes a method based on slope fields recovery for curved baseline extraction from a distorted document image captured by a hand-held camera. Our method treats the curved baselines as the solution curves of an ordinary differential equation defined on a slope field. By assuming the page shape is a smooth and developable surface, we investigate a type of intrinsic geometric constraints of baselines to estimate the latent slope field. The curved baselines are finally obtained by solving an ordinary differential equation through the Euler method. Unlike the traditional text-lines based methods, our method is free from text-lines detection and segmentation. It can exploit multiple visual cues other than horizontal text-lines available in images for baselines extraction and is quite robust to document scripts, various types of image quality degradation (e.g., image distortion, blur and non-uniform illumination), large areas of non-textual objects and complex page layouts. Extensive experiments on synthetic and real-captured document images are implemented to evaluate the performance of the proposed method. |
资助项目 | National Natural Science Foundation of China[91646207] ; National Natural Science Foundation of China[61573352] ; National Natural Science Foundation of China[61802407] ; US National Science Foundation[IIS1217302] ; US National Science Foundation[IIS-1619078] ; Army Research Office ARO[W911NF-16-1-0138] |
WOS关键词 | TEXT ; SEGMENTATION ; RECTIFICATION ; ROBUST ; SET |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
出版者 | IEEE COMPUTER SOC |
WOS记录号 | WOS:000526541100003 |
资助机构 | National Natural Science Foundation of China ; US National Science Foundation ; Army Research Office ARO |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/38830] |
专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
通讯作者 | Xiang, Shiming |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Zhongguancun East Rd 95, Beijing 100190, Peoples R China 2.Northwestern Univ, 2145 Sheridan Rd, Evanston, IL 60208 USA |
推荐引用方式 GB/T 7714 | Meng, Gaofeng,Pan, Chunhong,Xiang, Shiming,et al. Baselines Extraction from Curved Document Images via Slope Fields Recovery[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2020,42(4):793-808. |
APA | Meng, Gaofeng,Pan, Chunhong,Xiang, Shiming,&Wu, Ying.(2020).Baselines Extraction from Curved Document Images via Slope Fields Recovery.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,42(4),793-808. |
MLA | Meng, Gaofeng,et al."Baselines Extraction from Curved Document Images via Slope Fields Recovery".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 42.4(2020):793-808. |
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