Results 21 to 30 of about 156,133 (264)

Document Image Rectification Method Based on Lines Space [PDF]

Jisuanji gongcheng, 2017
Focusing on complicated and costly problems caused by segmentation of words or characters in document rectification algorithm based on 2D image processing techniques,this paper proposes an improved rectification algorithm.Firstly,it applies modified ...
LUO Xiaoping
doaj   +1 more source

Deep Neural Network Concept for a Blind Enhancement of Document-Images in the Presence of Multiple Distortions

Applied Sciences, 2022
In this paper, we propose a new convolutional neural network (CNN) architecture for improving document-image quality through decreasing the impact of distortions (i.e., blur, shadows, contrast issues, and noise) contained therein.
Kabeh Mohsenzadegan, Vahid Tavakkoli, Kyandoghere Kyamakya   +2 more
doaj   +1 more source

Document Image Binarization Technique for Degraded Document Images

International Journal of Computer Applications, 2015
image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the
N.A.Dawande N.A.Dawande, Supriya Lokhande   +1 more
openaire   +1 more source

Page Layout Analysis of the Document Image Based on the Region Classification in a Decision Hierarchical Structure [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2010
The conversion of document image to its electronic version is a very important problem in the saving, searching and retrieval application in the official automation system. For this purpose, analysis of the document image is necessary.
Hossein Pourghassem
doaj  

Slant Removal Technique for Historical Document Images

Journal of Imaging, 2018
Slanted text has been demonstrated to be a salient feature of handwriting. Its estimation is a necessary preprocessing task in many document image processing systems in order to improve the required training.
Ergina Kavallieratou, Laurence Likforman-Sulem, Nikos Vasilopoulos   +2 more
doaj   +1 more source

Language Identification in Document Images [PDF]

Journal of Imaging Science and Technology, 2016
This paper presents a system dedicated to automatic language identification of text regions in heterogeneous and complex documents. This system is able to process documents with mixed printed and handwritten text and various layouts. To handle such a problem, we propose a system that performs the following sub-tasks: writing type identification ...
Barlas, P, Hebert, D, Chatelain, Clément, Adam, Sébastien, Paquet, Thierry   +4 more
openaire   +3 more sources

A Novel Framework for Logo Detection and Recognition from Document Images [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2012
Logo detection and recognition module is a vital requirement in official automation systems for document image archiving and retrieval applications.
Hossein Pourghasem, Amir Salar Jafarpisheh   +1 more
doaj  

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

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

Consensus Standards and Recommendations for Developmental and Cognitive Surveillance, Screening, and Evaluation in Sickle Cell Disease: Executive Summary From the National Alliance of Sickle Cell Centers Neurocognitive Workgroup

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz, Donna Murdaugh, Andrew M. Heitzer, Jennifer N. Longoria, Wendy Santos‐Modesitt, Arianna Martin, Judy Cavazos, Jeff Schatz, Catherine R. Hoyt, Alison King, Eboni I. Lance, Steven Hardy, Marsha Treadwell   +12 more
wiley   +1 more source