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 language | English |
|---|---|
| Journal | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Article number | 9151569 |
| Pages | 113-118 |
| DOI | 10.1109/ccssp49278.2020.9151569 |
| Publication status | Published — 2020 |