Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Text Detection in Arabic News Video Based on SWT Operator and Convolutional Auto-Encoders

Type de record:

paper
Créateur:
OusMatSamJea
Éditeur:
IEEE
Hôte:

Visit

doi.org

Tasks

computer visionoptical character recognition

Similaires

Semi-automatic news video annotation framework for Arabic textMulti‐dimensional long short‐term memory networks for artificial Arabic text recognition in news videoInfluenza-like Illness Detection from Arabic Facebook Posts Based on Sentiment Analysis and 1D Convolutional Neural NetworkDetection of Arabic and Algerian Fake NewsAdaptive Auto-encoder for Extraction of Arabic Text: invariant, font, and segmentImproving Arabic handwritten text recognition through transfer learning with convolutional neural network-based models

Semi-automatic news video annotation framework for Arabic text

Multi‐dimensional long short‐term memory networks for artificial Arabic text recognition in news video

This study presents a novel approach for Arabic video text recognition based on recurrent neural net

Influenza-like Illness Detection from Arabic Facebook Posts Based on Sentiment Analysis and 1D Convolutional Neural Network

The recent large outbreak of infectious diseases, such as influenza-like illnesses and COVID-19, has

Detection of Arabic and Algerian Fake News

Abstract In an era characterised by the rapid dissemination of information throu

Adaptive Auto-encoder for Extraction of Arabic Text: invariant, font, and segment

Abstract Adaptive auto-en-codor research strategy for categorizing Arabic text into three

Improving Arabic handwritten text recognition through transfer learning with convolutional neural network-based models

Arabic handwritten text recognition is a complex and challenging research domain. This study propose