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ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition

open access: yesAlgorithms, 2021
Arabic text classification is a process to simultaneously categorize the different contextual Arabic contents into a proper category. In this paper, a novel deep learning Arabic text computer-aided recognition (ArCAR) is proposed to represent and ...
Abdullah Y. Muaad   +3 more
doaj   +1 more source

Arabic Scene Text Recognition in the Deep Learning Era: Analysis on a Novel Dataset

open access: yesIEEE Access, 2021
The problem of scene text recognition has recently gained extra attention, being an essential part of scene understanding systems. The broad scope of applications and the unresolved challenges has given this problem its popularity.
Heba Hassan   +2 more
doaj   +1 more source

A DEEP AUTOENCODER-BASED REPRESENTATION FOR ARABIC TEXT CATEGORIZATION

open access: yesJournal of ICT, 2020
Arabic text representation is a challenging assignment for several applications such as text categorization and clustering since the Arabic language is known for its variety, richness and complex morphology.
Fatima-Zahra El-Alami   +3 more
doaj   +3 more sources

Application of soft computing techniques in machine reading of Quranic Kufic manuscripts

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Research work in the field of offline Arabic handwriting recognition has seen an exponential growth during past decades. Despite much work dedicated to the recognition of handwritten Arabic text, there remains a lot to achieve in this regard.
Aasim Zafar, Arshad Iqbal
doaj   +1 more source

An Efficient Image Thresholding Method for Arabic Handwriting Recognition System [PDF]

open access: yesEngineering and Technology Journal, 2016
Image preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting ...
Alia Karim Abdul Hassan   +1 more
doaj   +1 more source

Challenges in Rendering Arabic Text to English Using Machine Translation: A Systematic Literature Review

open access: yesIEEE Access, 2023
The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah   +1 more
doaj   +1 more source

Arabic Language Text Steganography Based on Singular Value Decomposition (SVD) [PDF]

open access: yesEngineering and Technology Journal, 2016
With the fast development of internet innocent over communication in the network environment has become an important research direction. Steganography means that secret information is embedded into cover data imperceptibly for transmission.
Hanaa M. Ahmed, a A. A. Khohder, Maisa
doaj   +1 more source

A Superior Arabic Text Categorization Deep Model (SATCDM)

open access: yesIEEE Access, 2020
Categorizing Arabic text documents is considered an important research topic in the field of Natural Language Processing (NLP) and Machine Learning (ML).
M. Alhawarat, Ahmad O. Aseeri
doaj   +1 more source

Arabic Text Encryption Using Artificial Neural Networks [PDF]

open access: yesEngineering and Technology Journal, 2016
This research aims to build a cipher system using back propagation Algorithm with artificial neural network to encrypt any Arabic text and to prevent any data attack during the transition process.Encryption information holdsfour stages: 1)A neural ...
Oday Kamil Hamid
doaj   +1 more source

Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms

open access: yesIEEE Access, 2021
Arabic documents are massively rising due to numerous contents utilized in websites, social media, and news articles. The classification of such documents in labelled categories is a significant and vital task that deserves more attention.
Deem Alsaleh, Souad Larabi-Marie-Sainte
doaj   +1 more source

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