Matlab implementation of PCA algorithm

Matlab implementation of PCA algorithm

This package implements a well-known PCA-based face recognition

method, which is called 'Eigenface' [1].

All functions are easy to use, as they are heavy commented.

Furthermore, a sample script is included to show their usage.

In general, you should follow this order:

1. Select training and test database paths.

2. Select path of the test image.

3. Run 'CreateDatabase' function to create 2D matrix of all training images.

4. Run 'EigenfaceCore' function to produce basis's of facespace.

5. Run 'Recognition' function to get the name of equivalent image in training database.