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
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Updated 11 Apr 2018
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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 (2026). 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
Windows macOS Linux
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
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Version Published Release Notes
1.0.0.0

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.