Results 51 to 60 of about 4,593,161 (321)
International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2019 Optical character recognition (OCR) is a technology that allows you to convert different types of documents or images into searchable, editable, and analyzable data.
Bhavesh Kataria, H. Jethva
semanticscholar +1 more source
Kannada Character Recognition System A Review [PDF]
, 2009 Intensive research has been done on optical character recognition ocr and a large number of articles have been published on this topic during the last few decades.
Indira, K., Selvi, S. Sethu
core
A Survey of Handwritten Character Recognition with MNIST and EMNIST
Applied Sciences, 2019 This paper summarizes the top state-of-the-art contributions reported on the MNIST dataset for handwritten digit recognition. This dataset has been extensively used to validate novel techniques in computer vision, and in recent years, many authors have ...
A. Baldominos, Yago Sáez, P. Isasi
semanticscholar +1 more source
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition [PDF]
Pattern Recognition, 2017 We propose a new method for building fast and compact CNN model for large scale handwritten Chinese character recognition (HCCR).We propose a new technique, namely Adaptive Drop-weight (ADW), for effectively pruning CNN parameters.We proposed the Global ...
Xuefeng Xiao +5 more
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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 +23 more
wiley +1 more source
Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
doaj +1 more source
DenseRAN for Offline Handwritten Chinese Character Recognition [PDF]
International Conference on Frontiers in Handwriting Recognition, 2018 Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist of basic radicals, however, previous research mostly treated each Chinese
Wenchao Wang +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
On-line Handwritten Character Recognition: An Implementation of Counterpropagation Neural Net [PDF]
, 2005 On-line handwritten scripts are usually dealt with pen tip traces from pen-down to pen-up positions. Time evaluation of the pen coordinates is also considered along with trajectory information.
Mohamad, Dzulkifli +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi +20 more
wiley +1 more source