ورقة مؤتمر
Arabic Artistic Script Style Identification Using Texture Descriptors
Zineb Kaoudja✉، Belal Khaldi، Mohammed Lamine Kherfi
الملخّص
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...
التفاصيل
| اللغة الأصلية | English |
|---|---|
| المجلّة | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| رقم المقال | 9151569 |
| الصفحات | 113-118 |
| DOI | 10.1109/ccssp49278.2020.9151569 |
| حالة النشر | منشور — 2020 |