scholar.google.com › citations
Each of these databases has many categories of facial expressions images (6 basic face expressions and one neutral expression) labelled from No.1 to No.7 such ...
May 20, 2018 · In this paper, a system of facial expressions recognition based on Principal Component Analysis with K-nearest neighbor (K-NN) classifier is ...
Oct 22, 2024 · Principal Component Analysis (PCA) and local binary pattern (LBP) are used in this study to develop face identification. Both contrast ...
Jan 25, 2021 · In this paper, we improve a face recognition system using Principal Component Analysis (PCA) to extract features from the face images and reduce ...
Jul 25, 2024 · Principal Component Analysis (PCA) and local binary pattern (LBP) are used in this study to develop face identification. Both contrast ...
This research uses the method of Two-Dimensional Principal Component Analysis (2DPCA) for the feature extraction process and the KNN classification method is ...
People also ask
What is the principal component analysis for facial recognition?
What is K-nearest neighbor analysis?
This paper developed face identification using Principal Component Analysis (PCA) or eigenface extraction methods using the K-nearest Neighbor method, ...
In this paper, the proposed system presents a real-time system for facial expression recognition that aims to recognize 8 basic facial expressions of students: ...
May 30, 2019 · This paper presents an automatic system of face expression recognition which is able to recognize all eight basic facial expressions.
At present, a feature extraction technique called Two-Dimensional Principal Component Analysis (2DPCA) is proposed to overcome weakness of PCA. Classification ...