Classification of Extracted Feature Vectors Using Fuzzy Support Vector Machines

This project demonstrates dimensionality reduction of ORA face images using Principal Component Analysis (PCA), followed by high-accuracy classification of extracted feature vectors through Fuzzy Support Vector Machines (FSVM).