I'm trying to create a car plate recognition system, using OpenCV (C++). I've already seen this example on GitHub, but I want to use SVM, instead of K-nearest neighbours or Arificial Neural Networks.
I trained a SVM only for two classes (positive or negative), so how can I train to classify characters on the car plate?
I have 22 symbols (Y is the last one symbol) (i.e. 22 classes), should I create a bunch of binary SVMs? For example SVM(0,1), SVM(0,2)....SVM(Y,0), SVM(Y,1)...
If this is the case how can I merge all this files into one, to use it in recognition? I couldn't find any understandable information about it.