Results 31 to 40 of about 154,549 (310)

A Novel Adaptive Deskewing Algorithm for Document Images

Sensors, 2022
Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis.
Wuzhida Bao, Cihui Yang, Shiping Wen, Mengjie Zeng, Jianyong Guo, Jingting Zhong, Xingmiao Xu   +6 more
doaj   +1 more source

Efficient document image binarization using heterogeneous computing and parameter tuning [PDF]

, 2018
In the context of historical document analysis, image binarization is a first important step, which separates foreground from background, despite common image degradations, such as faded ink, stains, or bleed-through.
Lavesson, Niklas, Håkan Grahn, Florian Westphal, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

Elektronika ir Elektrotechnika, 2018
In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas, Lahcene Ziet, Saad Bouguezel   +2 more
doaj   +1 more source

Historical Document Synthesis with Generative Adversarial Networks [PDF]

, 2019
This work tackles a particular image-to-image translation problem, where the goal is to transform an image from a source domain (modern printed electronic document) to a target domain (historical handwritten document). The main motivation of this task is
Pondenkandath, Vinaychandran,, Alberti, Michele,, Vinaychandran Pondenkandath, Marcus Liwicki, Michele Alberti, Michael Diatta, Rolf Ingold, Ingold, Rolf,, Liwicki, Marcus,, Diatta, Michaël,   +9 more
core   +1 more source

Graph Neural Networks Using Local Descriptions in Attributed Graphs: An Application to Symbol Recognition and Hand Written Character Recognition

IEEE Access, 2021
Graph-based methods have been widely used by the document image analysis and recognition community, as the different objects and the content in document images is best represented by this powerful structural representation. Designing of novel computation
Nadeem Iqbal Kajla, Malik Muhammad Saad Missen, Muhammad Muzzamil Luqman, Mickael Coustaty   +3 more
doaj   +1 more source

Towards a unified framework for identity documents analysis and recognition

Компьютерная оптика, 2022
Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and
K.B. Bulatov, P.V. Bezmaternykh, D.P. Nikolaev, V.V. Arlazarov   +3 more
doaj   +1 more source

Adaptive Layout Analysis of Document Images [PDF]

, 2002
Layout analysis is the process of extracting a hierarchical structure describing the layout of a page. In the document processing system WISDOM++ the layout analysis is performed in two steps: firstly, the global analysis determines possible areas containing paragraphs, sections, columns, figures and tables, and secondly, the local analysis groups ...
MALERBA D., ALTAMURA O., ESPOSITO, Floriana   +2 more
openaire   +1 more source

Cluster-based Sample Selection for Document Image Binarization [PDF]

, 2019
The current state-of-the-art, in terms of performance, for solving document image binarization is training artificial neural networks on pre-labelled ground truth data.
Amandus Krantz, Florian Westphal, Krantz, Amandus, Westphal, Florian, Krantz, Amandus,, Westphal, Florian,   +5 more
core   +1 more source

A survey of crowdsourcing in medical image analysis [PDF]

, 2019
Rapid advances in image processing capabilities have been seen across many domains, fostered by the application of machine learning algorithms to "big-data".
Ørting, S. N. (author), Cheplygina, Veronika, Hirth, M. (author), Inel, O. (author), Madan, C. R., van Hilten, A. (author), Hilten, Arno van, Inel, Oana, Mavridis, P., Madan, C. R. (author), Spiers, H. (author), Doyle, A. (author), Spiers, H., Hirth, Matthias, Ørting, S. N., Madan, Christopher R, Inel, O., van Hilten, A., Doyle, Andrew, Spiers, Helen, Cheplygina, V. (author), �rting, Silas N, Mavridis, Panagiotis, Inel, Oana; https://orcid.org/, Mavridis, Dom Panagiotis, Hilten, Arno van, Ørting, Silas, Cheplygina, V, Cheplygina, V., Doyle, A., Madan, Christopher R., Hirth, M., Ørting, Silas Nyboe, Mavridis, P. (author), van Hilten, Arno   +34 more
core   +2 more sources

Deep learning for terahertz image denoising in nondestructive historical document analysis

Scientific Reports, 2022
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta, Konstantin Root, Ingrid Ullmann, Fabian Wagner, Martin Mayr, Mathias Seuret, Mareike Thies, Daniel Stromer, Vincent Christlein, Jan Schür, Andreas Maier, Yixing Huang   +11 more
doaj   +1 more source