2DLDA Algorithm for Face Recognition with MATLAB Implementation

MATLAB implementation of the 2DLDA algorithm for face recognition, utilizing nearest neighbor classifier for identification with feature extraction and dimensionality reduction capabilities.

2DLDA Algorithm for Face Recognition

example: Demonstration program showcasing the complete face recognition pipeline creatData: Generates training data matrices from facial images creatTrainLabelMat: Creates corresponding label matrices for training data LDA: Implements Fisherface algorithm for feature extraction and dimensionality reduction knnRecognition: K-Nearest Neighbors classifier for pattern recognition knnsearch: Performs efficient k-nearest neighbor search using optimized distance metrics