MATLAB Implementation for Camera-Based Face Recognition

This document presents a MATLAB-based face recognition program utilizing camera input. The implementation demonstrates satisfactory performance and serves as a valuable reference for researchers in computer vision. While this implementation builds upon existing methodologies, it provides a functional foundation for further research and development. The core implementation likely incorporates computer vision techniques through MATLAB's Image Processing and Computer Vision toolboxes, potentially using Viola-Jones algorithm for face detection and PCA/LDA methods for feature reduction. Researchers can leverage this codebase to explore practical applications of face recognition technology and modify the algorithm according to specific requirements. The program structure typically includes video frame capture, preprocessing, face detection, feature extraction, and matching against a trained database. Through parameter tuning and algorithm enhancements, researchers can optimize performance for various lighting conditions and facial variations. This implementation aims to provide inspiration and practical assistance for scholars working in the field of biometric recognition and pattern analysis.