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.

New Rules to Enhance the Performances of Histogram Projection for Segmenting Small-Sized Arabic Words

Créateur:

MarKamKhaSal

Éditeur:

Springer International Publishing

Hôte:

Visit

Licenses

http://www.springer.com/tdm

Similaires

New rules-based algorithm to improve Arabic stemming accuracyManagerial Practices and Performances of Small and Medium-sized Enterprises: Evidence from Burkina FasoSmall, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground DataA new definition of Xhosa grapheme-to-phoneme rules for automatic transcriptionUTILISATION OF TRADEMARKS TO ENHANCE THE VALUE OF PRODUCTS AND SERVICES BY SMALL AND MEDIUM-SIZED ENTERPRISES AT THE INNOVATION HUB IN PRETORIA, GAUTENG PROVINCE, SOUTH AFRICAUnconstrained Arabic Online Handwritten Words Segmentation Using New Hmm State Design

New rules-based algorithm to improve Arabic stemming accuracy

Managerial Practices and Performances of Small and Medium-sized Enterprises: Evidence from Burkina Faso

Abstract Management practices are seen as key explaining factors of the productivity diffe

Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data

The recent thrust on digital agriculture (DA) has renewed significant research interest in the autom

A new definition of Xhosa grapheme-to-phoneme rules for automatic transcription

UTILISATION OF TRADEMARKS TO ENHANCE THE VALUE OF PRODUCTS AND SERVICES BY SMALL AND MEDIUM-SIZED ENTERPRISES AT THE INNOVATION HUB IN PRETORIA, GAUTENG PROVINCE, SOUTH AFRICA

Unconstrained Arabic Online Handwritten Words Segmentation Using New Hmm State Design

In this paper we propose a segmentation system for unconstrained Arabic online handwriting. An essen