Facial Recognition System using Eigenfaces and SVM
Version 1.0.0.0 (2.78 KB) by
Shreyas Shubhankar
Facial Recognition System using Eigenfaces (PCA) and SVM
This code uses the Eigenface approach provided by M.Turk and A. Pentland to obtain training features. PCA is used to reduce the dimensionality of feature vector and SVM is used to obtain a training model. Use of Machine Learning improves the accuracy of Eigenface approach.
Cite As
Shreyas Shubhankar (2024). Facial Recognition System using Eigenfaces and SVM (https://github.com/shreyas00/Facial-Recognition-System), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2017a
Compatible with any release
Platform Compatibility
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Version | Published | Release Notes | |
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1.0.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.