Work

Enhancing Arabic Maghribi Handwritten Text Recognition with RASAM 2: A Comprehensive Dataset and Benchmarking

Year: 2024

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Vidal-Gorène, Chahan, Salah, Clément, Lucas, Noëmie, Decours-Perez, Aliénor, Perrier, Antoine

Institutions: École Nationale des Chartes, Orient & Méditerranée, University of Edinburgh, Centre National de la Recherche Scientifique, Centre Jacques Berque pour le Développement des Sciences Humaines et Sociales

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4403621830

FWCI: 0.229

Cites:

Cited by: 1

Related to: 10