Handwritten Digit Recognition Using Backpropagation Neural Network

This program implements handwritten digit recognition (digits 0-9) through a BP neural network model, featuring tested high accuracy. The implementation includes core components like neural network architecture design, backpropagation training algorithms, and image preprocessing for digit classification.

Handwritten Digit Recognition with USPS Database

USPS sample database for handwritten digit recognition and conversion of MAT-format database to binary images with run-length encoding storage

Handwritten Digit Recognition Using BP Neural Network

A MATLAB-based handwritten digit recognition program using Backpropagation (BP) Neural Network algorithm for image classification and digit identification.

Handwritten Digit Recognition Using MATLAB

This MATLAB-based handwritten digit recognition program offers user-friendly functionality with robust algorithm implementation.