Multiclass classification with SVM (1 vs all) question

Hi

I'm trying to do Multiclass classification with SVM, I have 7 classes. Now I was wondering if this was possible. I'm thinking of creating 7 SVMs for 1 vs all approach. Am i allowed to create 1 kind of feature vector per class? So e.g.

Class 1 vs rest ==> Use type feature vector 1 (designed for class 1) Class 2 vs rest ==> Use type feature vector 2 (designed for class 1) Class 3 vs rest ==> Use type feature vector 3 (designed for class 3)

And then assign the class-label with the highest confidence (probability), to the datapoint.

Is this cheating ? Or is this allowed ?