MATLAB Source Code for Feature Extraction in Face Recognition

This MATLAB source code provides feature extraction implementation for face recognition systems, specifically incorporating Linear Discriminant Analysis (LDA) method as a widely adopted facial recognition technique. The code utilizes image processing algorithms to extract meaningful feature information from facial images, followed by LDA-based analysis and classification of these features to achieve face recognition functionality. LDA serves as a classical dimensionality reduction approach that projects high-dimensional feature spaces into lower-dimensional subspaces, effectively reducing computational complexity while enhancing recognition accuracy. The MATLAB implementation enables convenient deployment of face recognition algorithms, allowing researchers to adjust parameters and optimize the code according to specific requirements for improved recognition performance. Key functions include image preprocessing, feature vector calculation, scatter matrix computation, and eigenvalue decomposition for optimal projection direction determination.