Results 61 to 70 of about 2,522,488 (296)

Cursive Character Recognition in Natural Scene Images Using a Multilevel Convolutional Neural Network Fusion

open access: yes, 2020
The accuracy of current natural scene text recognition algorithms is limited by the poor performance of character recognition methods for these images. The complex backgrounds, variations in the writing, text size, orientations, low resolution and multi ...
Asghar Ali Chandio   +5 more
core   +1 more source

A scheme of on-line Chinese character recognition using neural networks [PDF]

open access: yes, 2010
The paper proposes a scheme of online Chinese character recognition, based on neural networks. The supervised backpropagation algorithm is used to train the network.
Lin, Hwei-jen   +1 more
core   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

Numeric Character Recognition System for Chilean License Plates in semicontrolled scenarios

open access: yesInternational Journal of Computational Intelligence Systems, 2017
The development of a computational tool for the recognition of numerical characters already segmented from Chilean license plates, located in semi-controlled scenarios, is presented.
H. Olmí, C. Urrea, M. Jamett
doaj   +1 more source

Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

open access: yes, 2013
The last main stage in an automatic number plate recognition system (ANPRs) is optical character recognition (OCR), where the number plate characters on the number plate image are converted into encoded texts.
Faycal Bensaali   +5 more
core   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen   +10 more
wiley   +1 more source

Communicating Recognition & Rewards experiences: Tips and tricks

open access: yes
These guidelines support communications and marketing employees in the preparation and execution stages of creating a story about someone’s experiences with Recognition & Rewards (R&R) principles and themes.
Recognition & Rewards
core   +2 more sources

On-line one stroke character recognition using directional features [PDF]

open access: yes, 2007
Presentado al International Workshop on Advances in Pattern Recognition celebrado en 2007 en Plymouth (U.K.).This paper presents a method based on directional features for recognizing on-line characters represented by one-stroke.
Amato, Ariel   +9 more
core   +1 more source

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau   +8 more
wiley   +1 more source

An Unsupervised Character Recognition Method for Tibetan Historical Document Images Based on Deep Learning

open access: yesApplied Sciences
As there is a lack of public mark samples of Tibetan historical document image characters at present, this paper proposes an unsupervised Tibetan historical document character recognition method based on deep learning (UD-CNN). Firstly, using the Tibetan
Xiaojuan Wang, Weilan Wang
doaj   +1 more source

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