https://github.com/prishabhanot/facial_recognition_pca

A face recognition system using Principal Component Analysis (PCA) for dimensionality reduction and a Support Vector Machine (SVM) classifier for classification. PCA extracts essential features (eigenfaces) from facial images, significantly reducing computational complexity while retaining critical information for accurate recognition.

data eigenfaces facial-recognition pca python reducing-computational-complexity reducing-data-dimensions svm-classifier

Last synced: 01 Mar 2025