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

Record type:

paper

Creator:

OusMatSamJea

Publisher:

IEEE

Host:

Visit

Tasks

computer vision optical character recognition

Similar

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