Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …
Recognition (OCR) of documents have invaluable practical worth. Optical character …
A survey of OCR in Arabic language: applications, techniques, and challenges
Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …
from a scanned or printed image and converting it to a machine-readable form for further …
[图书][B] Supervised sequence labelling
A Graves, A Graves - 2012 - Springer
This chapter provides the background material and literature review for supervised
sequence labelling. Section 2.1 briefly reviews supervised learning in general. Section 2.2 …
sequence labelling. Section 2.1 briefly reviews supervised learning in general. Section 2.2 …
Offline handwriting recognition with multidimensional recurrent neural networks
A Graves, J Schmidhuber - Advances in neural information …, 2008 - proceedings.neurips.cc
Offline handwriting recognition---the transcription of images of handwritten text---is an
interesting task, in that it combines computer vision with sequence learning. In most systems …
interesting task, in that it combines computer vision with sequence learning. In most systems …
A new design based-SVM of the CNN classifier architecture with dropout for offline Arabic handwritten recognition
In this paper we explore a new model focused on integrating two classifiers; Convolutional
Neural Network (CNN) and Support Vector Machine (SVM) for offline Arabic handwriting …
Neural Network (CNN) and Support Vector Machine (SVM) for offline Arabic handwriting …
Deep learning for Arabic NLP: A survey
The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …
as computer vision, natural language processing (NLP) and speech processing. Many DL …
Cnn-n-gram for handwriting word recognition
A Poznanski, L Wolf - … of the IEEE conference on computer …, 2016 - openaccess.thecvf.com
Given an image of a handwritten word, a CNN is employed to estimate its n-gram frequency
profile, which is the set of n-grams contained in the word. Frequencies for unigrams, bigrams …
profile, which is the set of n-grams contained in the word. Frequencies for unigrams, bigrams …
Multi-dimensional recurrent neural networks
Recurrent neural networks (RNNs) have proved effective at one dimensional sequence
learning tasks, such as speech and online handwriting recognition. Some of the properties …
learning tasks, such as speech and online handwriting recognition. Some of the properties …
Investigation on deep learning for off-line handwritten Arabic character recognition
Handwritten character recognition is a system widely used in the modern world and it is still
an important challenge. Traditional machine-learning techniques require careful …
an important challenge. Traditional machine-learning techniques require careful …
[HTML][HTML] Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout
AAA Ali, S Mallaiah - Journal of King Saud University-Computer and …, 2022 - Elsevier
Text recognition in Arabic handwritten scripts is an active research field. These recognition
systems face numerous challenges, including enormous open data-bases, infinite variation …
systems face numerous challenges, including enormous open data-bases, infinite variation …