Printed English Letter Recognition System

A MATLAB-imprinted system for recognizing printed uppercase English letters, capable of identifying all 26 alphabetic characters through image processing and pattern recognition algorithms.

Neural Network-Based Character Recognition

This project implements character recognition using neural networks, a classic pattern recognition application. The source code trains a Backpropagation (BP) neural network to recognize 26 English letters, demonstrating key implementation details including network architecture, training methodology, and feature extraction techniques.

MATLAB Neural Network Source Code for English Alphabet and Digit Image Recognition

MATLAB neural network implementation source code for recognizing English alphabet images and numerical digits, featuring pattern recognition capabilities

Character Recognition Using Convolutional Neural Networks

Character Recognition of A-Z 26 English Letters Using Convolutional Neural Networks with Implementation Details