The authors prove the convergence of a self-supervised recognition algorithm that was reported a few years ago. The key concept related to this algorithm is represented by the guard zones, which are ellipsoidal regions around the reference objects. It is assumed that any input object belonging to such a zone has a very low probability of misclassification.