Patent ID: 6205247
Filing Date: 2001-03-20
Classification: G06K

Abstract:
A method of pattern recognition on the basis of statistics, which, for an object to be recognized, estimates an association of each target class of a class set with a numerical value on the basis of a complete ensemble of two- or multi-class classifiers, the numerical value resulting from cascaded application of polynomial classifiers, comprising the steps of: selecting the two- or multi-class classifiers whose estimates contribute the most, with high separation relevance, to minimizing a scalar measure calculated over an estimation-vector spectrum, from all two- or multi-class classifiers, over their estimation-vector spectrum on a learning sample in which all class patterns to be recognized are represented sufficiently;using the selected two- or multi-class classifiers to form estimate vectors over an expanded learning sample;using said estimate vectors to generate feature vectors that have been expanded through polynomial linking; andon the basis of said feature vectors, calculating an assessment classifier for estimating onto all target classes.