Pattern recognition method by using reference patterns each of which is defined by state models

Abstract From the Canadian patent

In a method of recognizing an input pattern represented by a time sequence of input feature vectors (a(t)) as a recognized pattern selected from a plurality of reference patterns which represent categories of recognition objects, respectively, each of the reference patterns is defined by a sequence of state models successively supplied with the time sequence of the input feature vectors and with a sequence of preceding state vectors (h(t, s, n)), the sequence of the state models produces a time sequence of predicted feature vectors (A(t+l, s, n)) and a sequence of new state vectors (h(t+l, s, n)). The recognized pattern is selected from one of the reference patterns that minimizes a …