MATLAB Implementation of Face Recognition Using Regularized Linear Discriminant Analysis (RLDA)

This project provides MATLAB source code for face recognition using Regularized Linear Discriminant Analysis (RLDA), along with relevant reference papers. RLDA is a well-established face recognition algorithm that performs identification by analyzing discriminative features from facial images. The MATLAB implementation includes key components such as data preprocessing, covariance matrix regularization, eigenvalue decomposition, and projection matrix calculation. The code features parameter tuning mechanisms for regularization coefficients and implements dimension reduction while maintaining class separability. Reference papers are included to help users understand the mathematical foundation and practical applications of the RLDA algorithm. The implementation demonstrates proper handling of small-sample-size problems common in face recognition datasets through regularization techniques. We hope this source code and reference materials prove valuable for your face recognition research and applications!