PROBLEM TO BE SOLVED: To obtain the face recognition method using uncontrolled metric recognition learning starting from the combination of normal density satisfactorily explaining observation data by estimating the metric (difference) between training data and statistic model and classifying the reference object inputted by using this metric. SOLUTION: The metric between the training data and the statistic model is estimated and the reference object inputted by using this metric is classified. In a pattern recognizing method I, the statistic model is composed of the combination of multivariate normal density. In a pattern recognizing method II, the statistic mode has the same mathematical form as the combination of multivariate normal density. In this case, it is desirable that the estimation of the metric in the pattern recognizing method I and the estimation of the metric in the pattern recognizing method II are shown as an expression I and an expression II, respectively. In the expressions, Mk is the Mk adjusted so as to have a zero average.
PATTERN RECOGNITION METHOD