An Incremental Face Recognition Algorithm - Incremental PCA Learning Algorithm

An Incremental Face Recognition Algorithm - Incremental PCA Learning Algorithm (MATLAB Implementation)

PCA+LDA Classical Face Recognition Algorithm

Classic face recognition algorithm using PCA for dimensionality reduction followed by LDA for feature extraction and classification enhancement

MATLAB Implementation of Face Recognition Algorithm Using BP Neural Network

MATLAB implementation of face recognition algorithm based on BP neural network using sample-complete training methodology with feature extraction and pattern recognition techniques.

MATLAB-Based Face Recognition Algorithm Implementation

Application Background: Face recognition is a biometric technology that identifies individuals based on facial features. This technique uses cameras to capture images/video streams containing faces, automatically detects and tracks faces in images, and applies facial processing technologies. Commonly called portrait recognition or facial recognition. Key Technologies: Face recognition systems consist of four main components: face image acquisition/detection, image preprocessing, feature extraction, and matching/recognition. Typical implementations involve image capture, face localization, preprocessing, and recognition (identity verification/search).