Face Recognition Using Feature Matrix Method with MATLAB Implementation

Resource Overview

MATLAB source code for face recognition implementing the feature matrix approach, including sample images and test datasets. The image filenames correspond directly to the naming conventions used in the MATLAB code. After extracting the compressed archive, the source code can be executed immediately without additional configuration.

Detailed Documentation

This document provides MATLAB source code for face recognition utilizing the feature matrix method. The implementation includes sample images and test datasets where all image filenames are consistent with the naming conventions referenced in the MATLAB code. The system employs feature extraction algorithms to create characteristic matrices from facial images, followed by comparison mechanisms for identification. Key implementation details include: - Matrix-based feature representation for efficient facial pattern storage - Image preprocessing routines for normalization and dimension standardization - Similarity calculation functions using matrix correlation techniques - Configurable threshold settings for recognition accuracy adjustment Simply extract the compressed package to run the source code directly. The complete workflow from image loading to recognition results is automated, requiring no additional parameter tuning for basic operation.