Results 41 to 50 of about 35,378,370 (305)

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

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

An innovative document image binarization approach driven by the non-local p-Laplacian

EURASIP Journal on Advances in Signal Processing, 2022
Text image binarization is fairly a tedious task and a significant problem in document image analysis. This process, as a necessary pretreatment for noisy images with stains, non-uniform background, or degraded text characters, can successfully improve ...
Fatim Zahra Ait Bella, Mohammed El Rhabi, Abdelilah Hakim, Amine Laghrib   +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

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In the context of historical document analysis, image binarization is a first important step, which separates foreground from background, despite common image degradations, such as faded ink,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

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

Document Image Binarization Using Recurrent Neural Networks

, 2018
In the context of document image analysis, image binarization is an important preprocessing step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.
Lavesson, Niklas, Florian Westphal, Hakan Grahn, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source

FPGA-based point processing for denoising of the show-through effect in scanned document images

Journal of King Saud University: Computer and Information Sciences, 2023
Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR).
Habibunnisha Nazeer, Nedumaran Damodaran
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Document Image Retrieval Based on Visual Saliency Maps

, 2019
There has been a massive growth in the production of various unstructured, complex and multi-lingual digitised documents in recent years. Storing and manipulating such digitised documents towards a paperless society has been the objective of emerging ...
Michael Blumenstein, Fahimeh Alaei, Pal, Umapada, Alireza Alaei, Alaei, Fahimeh, Alaei, Alireza, Umapada Pal, Blumenstein, Michael   +7 more
core   +1 more source