Document layout analysis: a comprehensive survey

GM Binmakhashen, SA Mahmoud - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

Role of texture analysis in breast MRI as a cancer biomarker: A review

RD Chitalia, D Kontos - Journal of Magnetic Resonance …, 2019 - Wiley Online Library
Breast cancer is a known heterogeneous disease. Current clinically utilized histopathologic
biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis …

Multi-scale multi-task fcn for semantic page segmentation and table detection

D He, S Cohen, B Price, D Kifer… - 2017 14th IAPR …, 2017 - ieeexplore.ieee.org
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 …

Machine learning and software engineering

D Zhang, JJP Tsai - Software Quality Journal, 2003 - Springer
Abstract Machine learning deals with the issue of how to build programs that improve their
performance at some task through experience. Machine learning algorithms have proven to …

Page segmentation of historical document images with convolutional autoencoders

K Chen, M Seuret, M Liwicki… - 2015 13th …, 2015 - ieeexplore.ieee.org
In this paper, we present an unsupervised feature learning method for page segmentation of
historical handwritten documents available as color images. We consider page …

Convolutional neural networks for page segmentation of historical document images

K Chen, M Seuret, J Hennebert… - 2017 14th IAPR …, 2017 - ieeexplore.ieee.org
This paper presents a page segmentation method for handwritten historical document
images based on a Convolutional Neural Network (CNN). We consider page segmentation …

A survey of visual and procedural handwriting analysis for neuropsychological assessment

M Moetesum, M Diaz, U Masroor, I Siddiqi… - Neural Computing and …, 2022 - Springer
Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …

A survey of geometric analysis in cultural heritage

R Pintus, K Pal, Y Yang, T Weyrich… - Computer Graphics …, 2016 - Wiley Online Library
We present a review of recent techniques for performing geometric analysis in cultural
heritage (CH) applications. The survey is aimed at researchers in the areas of computer …

[HTML][HTML] A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)

V Ruiz-Parrado, R Heradio, E Aranda-Escolastico… - Pattern Recognition, 2022 - Elsevier
Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Texture feature benchmarking and evaluation for historical document image analysis

M Mehri, P Héroux, P Gomez-Krämer… - International Journal on …, 2017 - Springer
The use of different texture-based methods is pervasive in different subfields and tasks of
document image analysis (DIA) and particularly in historical DIA (HDIA). Nevertheless, faced …