GradientFace: Illumination Processing for Face Recognition
GradientFace method for face recognition illumination processing, addressing facial recognition challenges across varying lighting conditions with code implementation insights.
Face Recognition Method Based on Gabor Wavelet Transform and Artificial Neural Network with MATLAB Implementation
A MATLAB-implemented face recognition approach combining Gabor wavelet transform for feature extraction and artificial neural networks for pattern classification, including complete code implementation and algorithmic details.
Modified PCA Algorithm for Face Recognition - MATLAB Source Code
MATLAB implementation of a modified PCA (Principal Component Analysis) approach for face recognition applications
Face Recognition Program Implementing PCA for Dimensionality Reduction
An efficient face recognition program utilizing PCA for dimensionality reduction followed by LDA classification methodology, implemented using the ORL face database with enhanced algorithmic descriptions.
BP Artificial Neural Network Pattern Recognition Tutorial with Practical Examples
This tutorial provides comprehensive BP neural network examples for pattern recognition applications, featuring implementation guidance for facial recognition and gesture recognition systems with code structure explanations.
Principal Component Analysis and Fuzzy Support Vector Machine for Face Recognition
A comprehensive face recognition program implementing PCA and Fuzzy SVM algorithms, thoroughly tested and optimized for reliable performance
Face Recognition Using Support Vector Machines (SVM)
This MATLAB source code implements face recognition using SVM algorithm, consisting of five main components: 1) ORL face database for training and testing, 2) OSU_SVM toolbox for function calls, 3) Main program with detailed comments, 4) Analysis report of results in Word format, and 5) Important usage notes. The implementation demonstrates practical SVM application for image classification tasks.
MATLAB Code Implementation for Face Recognition Using PCA Algorithm
MATLAB source code for face recognition system implementing Principal Component Analysis (PCA) with feature extraction and pattern matching capabilities.
Face Recognition Using the Classic KL Transform Algorithm
A facial recognition program based on the classic KL Transform algorithm, which can be adapted with minor modifications for general image and text recognition applications.
Face Recognition Using PCA and LDA
Face recognition implementation based on PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis). The main function loads image files, applies preprocessing techniques, executes the face recognition algorithm with dimensionality reduction, and generates performance accuracy plots.