First function named "gaborFilterBank" generates a custom-sized Gabor filter bank. It creates a u*v array, whose elements are m by n matrices; each matrix being a 2-D Gabor filter.
Second function named "gaborFeatures" extracts the Gabor features of the image.
It creates a column vector, consisting of the image's Gabor features.
At the end of each file there is a Show section that plots the filters and shows the filtered images. These are only for illustration purpose, and you can comment them as you wish.
Details can be found in:
M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, "Identification Using Encrypted Biometrics," Computer Analysis of Images and Patterns, Springer Berlin Heidelberg, pp. 440-448, 2013.