Implementation of Face Recognition System Using Principal Component Analysis (PCA)
This system employs 2D PCA algorithm to compute dimension reduction matrix for training set vectors, and utilizes nearest neighbor method to evaluate recognition accuracy on test datasets with code implementation insights.