Face recognition using PCA
Version 1.0.0.0 (2.81 KB) by
Baba Dash
Principal Component Analysis for Face Recognition
This program recognizes a face from a database of human faces using PCA. The principal components are projected onto the eigenspace to find the eigenfaces and an unknown face is recognized from the minimum euclidean distance of projection onto all the face classes.
Cite As
Baba Dash (2024). Face recognition using PCA (https://www.mathworks.com/matlabcentral/fileexchange/45750-face-recognition-using-pca), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2008a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Semantic Segmentation >
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
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Inspired: EOF
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Version | Published | Release Notes | |
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1.0.0.0 |