Communication
Robust hand gesture recognition based on mWLD and LTeP descriptors
Salah Eddine Agab✉, Roumaissa Ferhat, Fatma Zohra Chelali
Résumé
Hand gesture recognition has been widely used to develop human-computer interfaces that are both efficient and intuitive. In this context, we propose in this paper a hand gesture recognition system based on two descriptors, namely, Local Ternary Pattern (LTeP) and multi-scale Weber Local Descriptor (mWLD), and for classification task, we used Support Vector Machine (SVM) and Radial Basis Neural Ne...
Détails
| Langue originale | English |
|---|---|
| Revue | 2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy (AI-CSP) |
| Numéro d’article | 9671180 |
| Pages | 1-5 |
| DOI | 10.1109/ai-csp52968.2021.9671180 |
| Statut de publication | Publié — 2021 |