Digital Image Copy-Move Tampering Detection
Digital image copy-move tampering detection, featuring keypoint feature extraction and similar block matching algorithms
MATLAB-based Gesture Recognition Using HOG Feature Extraction and Euclidean Distance Classification
Hand gesture recognition implementation in MATLAB utilizing Histogram of Oriented Gradients (HOG) for feature extraction and Euclidean distance metric for classification decision-making.
Feature Extraction and Matching of Two Images using SIFT+RANSAC
Implement feature extraction and matching between two images using SIFT and RANSAC algorithms, with a bounding box highlighting the smaller image region in the larger image. The implementation involves keypoint detection using SIFT, feature matching with distance ratio testing, and geometric verification through RANSAC-based homography estimation. Execute plot.m to visualize the matching results and region localization.
Image Retrieval Technology Based on Gray-Level Co-occurrence Matrix
Image retrieval technology utilizing Gray-Level Co-occurrence Matrix (GLCM), featuring complete implementation of feature extraction, feature description, feature matching, and result return with algorithm optimization.
Face Detection Program Using AdaBoost Algorithm
A MATLAB-based face detection implementation utilizing the AdaBoost algorithm for rapid and efficient performance with high reference value. This program integrates skin color detection with AdaBoost for facial feature extraction.
Feature Extraction for Target Recognition Using Sparse Principal Component Analysis
Implementation of feature extraction in target recognition through Sparse Principal Component Analysis, including research paper and simulation code with detailed algorithmic explanations.
Feature Extraction, Model Building, and Recognition Decision
MATLAB source code for implementing three core components: speech signal input, feature extraction, and model-based recognition decision with practical algorithm implementations.
Face Feature Extraction Using SVD Method
Implementation of face feature extraction through Singular Value Decomposition (SVD), featuring code implementation insights and practical applications
Gabor 2DPCA Face Recognition Algorithm
A custom-implemented Gabor 2DPCA face recognition algorithm that extracts Gabor features and performs recognition using 2DPCA. Tested on the Yale face database with high accuracy and fast processing speed. The code allows direct recognition rate output by simply adjusting the number of training samples. Includes pre-loaded Yale database for immediate execution and result visualization - implements Gabor filter convolution, 2DPCA dimensionality reduction, and classification modules.
MATLAB Source Code for Offline Handwritten Character Recognition
This MATLAB source code suite for offline handwritten character recognition includes feature extraction, Bayes classifier, K-nearest neighbor classification, and nearest neighbor classification. Key files: TestScriptRecognition.m (main test script), ScriptFeaExtract.m (feature extraction implementation), KNearestEstimate.m (K-nearest neighbor algorithm), NearestEstimate.m (nearest neighbor classifier), BayesTrain.m (Bayes classifier training), Bayes.m (Bayes classifier testing), CrossValidate.m (m-fold cross validation).