MATLAB Implementation of Gabor Wavelet Filter

A comprehensive MATLAB implementation of Gabor wavelet filters supporting both 1D and 2D signal processing, featuring practical applications for feature extraction and time-frequency analysis.

Feature Extraction using Gabor Wavelet Filters followed by SVM Classification for Face Detection

This implementation performs feature extraction using Gabor wavelet filters, then employs Support Vector Machine (SVM) classification for face detection. The code requires MATLAB 2010 or later versions for execution, utilizing MATLAB's image processing toolbox for filter implementation and SVM functions for pattern classification.