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Paper

Arabic Artistic Script Style Identification Using Texture Descriptors

Zineb Kaoudja✉, Belal Khaldi, Mohammed Lamine Kherfi

Abstract

Texture descriptors have been widely used for many computer vision tasks. Document Analysis (DA) is a hot topic of research, which aims at analyzing digitized documents containing different types of texts. In this paper, we design and evaluate a system for Arabic artistic style recognition using numerous texture descriptors. These descriptors have been chosen based on their effectiveness and the h...

Details

Original languageEnglish
Journal2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
Article number9151569
Pages113-118
DOI10.1109/ccssp49278.2020.9151569
Publication statusPublished — 2020