How to classify extracted LBP features using svm ?

Hello, I am new to matlab and machine learning.

I have a palmprint dataset i did the feature extraction of the images in this dataset using extractLBPFeatures(); function and i get an array of 1x59 element, until now all is good. now i want to use Support Vector Machines (SVM) for the classification of the features that i already extracted. Any help will be appreciated.

My dataset is divided to 2 folders:

1) Training 920 images

2) Test 230 images