python lbp image classification
If you want to use SVM as a classifier it does not make a lot of sense to make one average histogram for male and one for female because when you train you SVM classifier you can take all the histograms into account, but if you compute the average histograms you can use a nearest neighbor classifier instead.
I am working on a personal project: gender classification (male | female) in python. I'm beginner in this domain
I computed histograms for every image in training data.
Now, to test if a test image is male or female is possible to make an average histogram for male | female and compare test histograms? Or I must compare all histograms with test histogram? 
If there is possible to make an average. How should I do it?
Also, is ok to use SVM for classification?
PS. I am looking for free faces databases. 
Thanks