How to normalize face data for svm classification

I am doing binary classification( face and non-face), what i am not sure is what is the proper way to normalize the face and nonface features. i have six different features for each class. My feature vector is face and non-face features concatenated together. Should i normalized each class before combining or the whole feature vector after combining?