Results 21 to 30 of about 143,702 (218)

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

Comparative Semantic Document Layout Analysis for Enhanced Document Image Retrieval

IEEE Access
Tons of handwritten document images, either historical or continuously reproduced in everyday life, are information-rich, awaiting extensive advanced technological attention from academic and industrial communities.
Emad Sami Jaha
doaj   +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Deep learning for terahertz image denoising in nondestructive historical document analysis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Historical documents contain essential information about the past, including places, people, or events.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

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

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

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

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Document Analysis And Classification Based On Passing Window [PDF]

Journal of Advances in Computer Engineering and Technology, 2020
In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification.
ZAHER BAMASOOD
doaj  

Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques

IEEE Access, 2023
In the realm of Document Image Analysis (DIA), the primary objective is to transform image data into a format that can be readily interpreted by machines.
Nisar Khan, Riaz Ahmad, Khalil Ullah, Siraj Muhammad, Ibrar Hussain, Ahmad Khan, Yazeed Yasin Ghadi, Heba G. Mohamed   +7 more
doaj   +1 more source