Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Krawtchouk moment feature extraction for neural Arabic handwritten words recognition

Record type:

paper
Creator:
A. K. H. H.
Publisher:
IEEE
Host:

Visit

doi.org

Tasks

computer visionoptical character recognition

Similar

Efficient feature descriptor selection for improved Arabic handwritten words recognitionClassifiers Combination for Arabic Words Recognition: Application to Handwritten Algerian City NamesRecognition of the Arabic Handwritten Words of the Algerian DepartmentsBuilding a Convolutional Neural Network from Scratch for Arabic Handwritten RecognitionExtended Feature Extraction Technique (Edge Direction Matrixes) For Online Arabic Handwriting RecognitionRecurrent Neural Network Method in Arabic Words Recognition System

Efficient feature descriptor selection for improved Arabic handwritten words recognition

Arabic handwritten text recognition has long been a difficult subject, owin

Classifiers Combination for Arabic Words Recognition: Application to Handwritten Algerian City Names

Recognition of the Arabic Handwritten Words of the Algerian Departments

Building a Convolutional Neural Network from Scratch for Arabic Handwritten Recognition

Extended Feature Extraction Technique (Edge Direction Matrixes) For Online Arabic Handwriting Recognition

Recognition of Arabic handwriting has attracted the interest of researchers for many years. Until no

Recurrent Neural Network Method in Arabic Words Recognition System

The recognition of unconstrained handwriting continues to be a difficult task for computers despite