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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 …
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 …
Text line segmentation for challenging handwritten document images using fully convolutional network
This paper presents a method for text line segmentation of challenging historical manuscript
images. These manuscript images contain narrow interline spaces with touching …
images. These manuscript images contain narrow interline spaces with touching …
Full-page text recognition: Learning where to start and when to stop
Text line detection and localization is a crucial step for full page document analysis, but still
suffers from heterogeneity of real life documents. In this paper, we present a new approach …
suffers from heterogeneity of real life documents. In this paper, we present a new approach …
Seam carving for text line extraction on color and grayscale historical manuscripts
We propose a novel algorithm for automatic text line extraction on color and gray scale
manuscript pages without prior binarization. Our algorithm is based on seam carving to …
manuscript pages without prior binarization. Our algorithm is based on seam carving to …
Page segmentation for historical handwritten documents using fully convolutional networks
Page segmentation is a fundamental and challenging task in document image analysis due
to the layout diversity. In this work, we propose a pixel-wise segmentation method for …
to the layout diversity. In this work, we propose a pixel-wise segmentation method for …
Multi-task handwritten document layout analysis
L Quirós - arxiv preprint arxiv:1806.08852, 2018 - arxiv.org
Document Layout Analysis is a fundamental step in Handwritten Text Processing systems,
from the extraction of the text lines to the type of zone it belongs to. We present a system …
from the extraction of the text lines to the type of zone it belongs to. We present a system …
ADoPD: A large-scale document page decomposition dataset
Research in document image understanding is hindered by limited high-quality document
data. To address this, we introduce ADOPD, a comprehensive dataset for document page …
data. To address this, we introduce ADOPD, a comprehensive dataset for document page …
Unsupervised wall detector in architectural floor plans
Wall detection in floor plans is a crucial step in a complete floor plan recognition system.
Walls define the main structure of buildings and convey essential information for the …
Walls define the main structure of buildings and convey essential information for the …
[HTML][HTML] Learning-free text line segmentation for historical handwritten documents
We present a learning-free method for text line segmentation of historical handwritten
document images. This method relies on automatic scale selection together with second …
document images. This method relies on automatic scale selection together with second …