PATTERN RECOGNITION USING MULTIPLE REFERENCE MODELS

摘要

A method and apparatus for pattern recognition comprising comparing an input signal representing an unknown pattern with reference data representing each of a plurality of pre-defined patterns, at least one of the pre-defined patterns being represented by at least two instances of reference data. Successive segments of the input signal are compared with successive segments of the reference data and comparison results for each successive segment are generated. For each pre- defined pattem having at least two instances of reference data, the comparison results for the closest matching segment of reference data fo r each segment of the input signal are recorded to produce a composite comparison result for the said pre-defined pattem. The unknown pattem is the identified on the basis of the comparison results. Thus the effect of a mismatch between the input signal and each instance of the reference data is reduced by selecting the best segments from the instances of reference data for each pre-defined pattern.