Explore MATLAB source code curated for "人脸识别系统" with clean implementations, documentation, and examples.
A comprehensive face recognition system based on Local Binary Pattern (LBP) methodology, featuring subroutines for local binarization and histogram feature vector extraction. The system supports integration with face databases for testing recognition accuracy and demonstrates high recognition rates through robust algorithmic implementation.
A face recognition system implemented using Hidden Markov Models, featuring complete testing procedures including feature extraction and classifier design.
A high-performance face recognition system utilizing Fisher Linear Discriminant (FLD) algorithm combined with Fast Wavelet Transform for efficient feature extraction and classification, ideal for academic learning and research purposes.
A MATLAB-implemented face recognition system utilizing Support Vector Machine (SVM) algorithm, thoroughly debugged and proven effective for practical applications.
A PCA-based face recognition system with 40 sets of facial images. Includes random image selection and recognition demonstration with feature extraction and similarity measurement implementations.
Simulated face recognition system design using MATLAB with complete GUI implementation and algorithm visualization
Develop a MATLAB-based face recognition system that identifies a given facial image from a dataset using image processing and machine learning algorithms, including feature extraction and classification techniques.
This MATLAB-based face recognition system contains dozens of carefully curated facial data images and demonstrates practical implementation of recognition algorithms, making it highly recommended for technical evaluation.
This is a comprehensive facial recognition system that documents the complete software development process, implemented using MATLAB programming with detailed algorithm explanations and key function descriptions.
This MATLAB-based face recognition system utilizes PCA+SVM algorithms and includes executable source code with complete implementation details.