MATLAB Code Implementation for Handwritten Digit Recognition
A handwritten digit recognition program developed in MATLAB, compatible with MATLAB 7.0 environment, implementing image processing and pattern recognition algorithms
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).
Handwritten Digit Recognition Using BP Neural Network
Handwritten digit recognition using BP neural network with BMP image training and recognition rate calculation. The implementation includes preprocessing BMP images into normalized pixel arrays, designing multi-layer neural network architecture with backpropagation algorithm for weight optimization, and evaluating model performance through accuracy metrics.