Handwritten Digit Recognition Based on Fisher Linear Discriminant Analysis

Implementation of handwritten digit recognition using Fisher Linear Discriminant Analysis on MATLAB platform. This method achieves automated digit classification through sample data projection and distance calculation. Similar to Bayesian methods, it requires test subjects to follow specific writing conventions with standardized forms and moderate writing speed for optimal performance.

MATLAB M-File for Fisher Linear Discriminant Analysis with Gaussian Kernel Implementation

This MATLAB m-file provides implementation code for Fisher Linear Discriminant Analysis using Gaussian kernel function, complete with sample datasets and visualization tools.