MATLAB Implementation for Face Recognition
Face Recognition Training Sample Based on MATLAB with Algorithm Implementation Details
Face Recognition MATLAB Code Based on Double-Weight Non-Negative Matrix Factorization
MATLAB implementation of face recognition using double-weight non-negative matrix factorization, featuring enhanced feature extraction and recognition capabilities through matrix decomposition techniques.
Face Recognition System
A custom-developed program for face recognition applications, featuring efficient implementation and additional functionalities.
Modified PCA Algorithm for Face Recognition - MATLAB Implementation
A MATLAB implementation of a modified Principal Component Analysis (PCA) algorithm for face recognition applications, featuring enhanced image preprocessing and parameter optimization for improved accuracy.
MATLAB Code Implementation for Digital Image Processing
Digital Image Processing, Pattern Recognition, and Face Recognition with included programs and face database - an excellent learning resource with practical implementations
Face Recognition on ORL Face Database Using KPCA Method
Implementation of KPCA (Kernel Principal Component Analysis) method for face recognition on the ORL face database with nearest neighbor classifier for classification.
Application of Fuzzy Support Vector Machine and Principal Component Analysis in Face Recognition
Integration of Fuzzy Support Vector Machine and Principal Component Analysis for Enhanced Face Recognition Systems
VC-based Face Recognition Technical Article
A comprehensive VC (Visual C++) implementation article on face recognition technology, providing valuable insights and practical code examples for developers working in computer vision and biometric security systems.
MATLAB Implementation of Facial Recognition with Eye Localization
A newly developed facial recognition program featuring advanced eye localization capabilities, implemented using MATLAB image processing and computer vision algorithms.
Feature-Based Face Recognition Algorithm Implementation in MATLAB
Application Context: This MATLAB implementation of feature-based face recognition algorithm compares facial feature values against a database to find optimal matches for captured images, achieving high accuracy. The algorithm utilizes eigenfaces for feature extraction and implements pattern matching techniques to identify the closest database match. Technical Approach: The code employs principal component analysis (PCA) for dimensionality reduction and feature extraction, using covariance matrices and eigenvalue decomposition to create efficient facial templates. The implementation includes database indexing and similarity measurement functions for optimized performance.