MATLAB Implementation of Face Recognition with Gabor Filtering and Neural Network Training
A face recognition program implementing Gabor filtering for feature extraction and neural network training for classification
MATLAB Implementation of Face Recognition
Face recognition system for identifying human faces with excellent program performance and robust detection capabilities
PCA+LDA Face Recognition with Enhanced Feature Dimensionality Reduction
PCA+LDA Face Recognition achieves higher accuracy than standalone PCA or LDA algorithms, requiring MATLAB's Dimensionality Reduction Toolbox for feature preprocessing and implementation.
SVM for Face Recognition
SVM applied to face recognition with satisfactory performance! MATLAB implementation for educational purposes with practical coding examples.
Fisher Linear Discriminant Analysis (FLDA) Method for Face Recognition
Face recognition experiments using Fisher Linear Discriminant Analysis (FLDA) method on the ORL face database. The ORL standard face database contains 40 subjects with 10 images each, totaling 400 BMP format images. FLDA implementation involves feature extraction and dimensionality reduction to maximize inter-class separation while minimizing intra-class variation.
Face Detection, Feature Extraction, and Facial Recognition
Yale Database, PCA, SVM, MATLAB Implementation - Comprehensive Guide to Face Detection, Feature Extraction, and Recognition Algorithms
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.
GUI Design for Face Recognition System
A custom-developed GUI application for face recognition, featuring multiple facial analysis capabilities with robust implementation techniques.
MATLAB Source Code for Face Recognition Using Diagonal DCT and 2D PCA
MATLAB implementation for face recognition combining diagonal DCT feature extraction with 2D Principal Component Analysis algorithm.
Gesture Recognition with MATLAB Implementation
These MATLAB codes facilitate gesture and pattern recognition projects, providing robust implementations for handwritten character recognition, specific pattern identification, and face recognition applications. The algorithms incorporate feature extraction techniques and classification methods commonly used in computer vision systems.