MATLAB Implementation of Face Detection and Recognition Algorithms

This document presents a MATLAB implementation of face detection and recognition algorithms. The program is designed to detect and identify human faces by analyzing facial features within images to determine both the location and identity of individuals. In computer vision applications, this algorithm implementation finds extensive use in various domains including facial recognition systems, facial expression analysis, and facial landmark detection. The MATLAB code typically employs techniques such as Viola-Jones algorithm for face detection using Haar-like features and cascade classifiers, while recognition may utilize methods like Eigenfaces or Local Binary Patterns (LBP) for feature extraction and classification. Key functions include image preprocessing, feature extraction using integral image calculations, and classification through trained models. By utilizing this algorithmic implementation, developers can better understand and apply face detection and recognition technologies, providing more accurate and reliable solutions for various application scenarios such as security systems, biometric authentication, and human-computer interaction interfaces.