Lip language identification via Wavelet entropy and K-nearest neighbor algorithm

Lip language identification via Wavelet entropy and K-nearest neighbor algorithm

INTRODUCTION: Image processing technology is widely used in lip recognition, which can automatically detect and analyse the unstable shape of human lips. OBJECTIVES: In this paper, we propose a new algorithm using Wavelet entropy (WE) and K-nearest neighbor (KNN) improves the accuracy of lip recog...

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Bibliographic Details
Main Authors: Ran Wang, Yifan Cui, Xinyu Gao, Wei Chen, Mingbo Hu, Qian Li, Jiahui Wei, XianWei Jiang
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2021-08-01
Series:EAI Endorsed Transactions on e-Learning
Subjects:
Lip language identification
Wavelet entropy
𝐾𝐾-nearest neighbor
Wavelet transform
K-fold cross validation
Online Access:https://publications.eai.eu/index.php/el/article/view/1732

Internet

https://publications.eai.eu/index.php/el/article/view/1732

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