Explore MATLAB source code curated for "数字识别" with clean implementations, documentation, and examples.
This MATLAB-based English letter and digit recognition code implements the autocorrelation algorithm. Successfully tested in MATLAB 7.0, it demonstrates effective performance for uniform font styles. The implementation includes preprocessing, feature extraction via autocorrelation, and pattern classification components.
MATLAB implementation of Hopfield neural network for digit recognition with noise tolerance - demonstrates robust pattern retrieval even with noisy input patterns.
This MATLAB-based program implements handwritten digit recognition using pattern recognition techniques, enabling users to identify and classify numerical characters through pixel analysis and feature extraction.
MATLAB simulation for digit recognition using image preprocessing and neural network training, achieving high accuracy through systematic implementation. The workflow involves image cropping, dataset preparation, neural network architecture design, and performance optimization.
MATLAB neural network source code for digit recognition, providing robust digital identification capabilities. Includes detailed explanations for implementing Digits Recognition algorithms.
Implementation of isolated English digit recognition system featuring Mel-Frequency Cepstral Coefficients (MFCC) for feature extraction and Hidden Markov Models (HMM) for pattern recognition, with Python code examples demonstrating key algorithmic components
MATLAB Code Implementation Framework for Hopfield Neural Networks with Pattern Recognition Applications
Digital Recognition Implementation in MATLAB
Implementation of Neural Networks for Digital Recognition
MATLAB-based digit recognition system utilizing backpropagation neural network with detailed code implementation for image preprocessing, network architecture, and training process.