Traditional PCA-Based Algorithm for Face Recognition

Implementation of face recognition using traditional Principal Component Analysis (PCA) method on Yale Face Database. PCA is a statistical approach based on Karhunen-Loève (K-L) transform, which represents an optimal orthogonal transformation widely used in data compression applications.