English Letter and Digit Recognition using Autocorrelation Algorithm in MATLAB

This MATLAB code performs English letter and digit recognition using the autocorrelation algorithm. The autocorrelation method is a fundamental signal processing technique that computes the cross-correlation of a signal with itself to analyze periodicity and patterns. Key implementation aspects include: - Image preprocessing (binarization and normalization) - Autocorrelation function calculation using MATLAB's xcorr function - Feature vector extraction from correlation coefficients - Pattern matching against template characters The algorithm successfully operates in MATLAB 7.0 and demonstrates robust performance for recognizing characters with consistent font styles. Through this autocorrelation approach, the system achieves accurate identification of English letters and digits, making it valuable for applications in optical character recognition and speech processing domains. The code structure includes modular functions for preprocessing, feature extraction, and classification, allowing for easy customization and extension.