MATLAB Code Implementation for Face Recognition

Resource Overview

A comprehensive face recognition program developed in MATLAB, designed to assist with understanding fundamental principles and practical implementation

Detailed Documentation

I would like to share a complete face recognition program I developed using MATLAB, which can help users better understand the basic principles and implementation process of face recognition. The core algorithms are based on Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) - both proven to be highly effective in the field of face recognition. The implementation includes eigenface computation using PCA for dimensionality reduction and feature extraction, followed by LDA for optimal class separation. The program also incorporates additional features such as flexible image processing capabilities for preprocessing and normalization, customizable datasets for training and testing, and configurable parameters for algorithm tuning. These features help users better understand and apply these algorithms in practical scenarios. Key MATLAB functions utilized include pca() for principal component analysis, fitcdiscr() for discriminant analysis, and various image processing toolbox functions for handling facial image data. I hope this program proves beneficial for learning and practical applications in face recognition!