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Document layout analysis: a comprehensive survey
Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …
systems. It is responsible for detecting and annotating the physical structure of documents …
Document structure analysis algorithms: a literature survey
S Mao, A Rosenfeld, T Kanungo - Document recognition and …, 2003 - spiedigitallibrary.org
Document structure analysis can be regarded as a syntactic analysis problem. The order
and containment relations among the physical or logical components of a document page …
and containment relations among the physical or logical components of a document page …
M6Doc: a large-scale multi-format, multi-type, multi-layout, multi-language, multi-annotation category dataset for modern document layout analysis
Document layout analysis is a crucial prerequisite for document understanding, including
document retrieval and conversion. Most public datasets currently contain only PDF …
document retrieval and conversion. Most public datasets currently contain only PDF …
The OCRopus open source OCR system
TM Breuel - Document recognition and retrieval XV, 2008 - spiedigitallibrary.org
OCRopus is a new, open source OCR system emphasizing modularity, easy extensibility,
and reuse, aimed at both the research community and large scale commercial document …
and reuse, aimed at both the research community and large scale commercial document …
Multi-scale multi-task fcn for semantic page segmentation and table detection
Page segmentation and table detection play an important role in understanding the structure
of documents. We present a page segmentation algorithm that incorporates state-of-the-art …
of documents. We present a page segmentation algorithm that incorporates state-of-the-art …
ICDAR2017 competition on page object detection
This paper presents the results of ICDAR2017 Competition on Page Object Detection (POD).
POD is to detect page objects (tables, mathematical equations, graphics, figures, etc.) from …
POD is to detect page objects (tables, mathematical equations, graphics, figures, etc.) from …
Fundamental diagrams for multidirectional pedestrian flows
Fundamental diagrams for uni-, bi-and multidirectional flows at corridors and crossings are
investigated by a series of experiments under laboratory conditions. At high densities …
investigated by a series of experiments under laboratory conditions. At high densities …
Label-efficient deep learning in medical image analysis: Challenges and future directions
Deep learning has seen rapid growth in recent years and achieved state-of-the-art
performance in a wide range of applications. However, training models typically requires …
performance in a wide range of applications. However, training models typically requires …
A comprehensive survey of mostly textual document segmentation algorithms since 2008
S Eskenazi, P Gomez-Krämer, JM Ogier - Pattern recognition, 2017 - Elsevier
In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …
document. The increasing number of applications of document analysis requires a good …
Handwritten Chinese text line segmentation by clustering with distance metric learning
Separating text lines in unconstrained handwritten documents remains a challenge because
the handwritten text lines are often un-uniformly skewed and curved, and the space between …
the handwritten text lines are often un-uniformly skewed and curved, and the space between …