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.