Automatic generation of significant feature groups from a given set of basic features, i.e. creation of abstract characteristics, is a fundamental problem to be solved in pattern recognition. With the presented method it is possible to generate automatically local and important feature groups of contours of 2D objects resulting in reasonable class membership. The method was designed for the development of general classifiers, relying on automatically generated, local and important feature groups, derived from all kinds of basic features, for example contour points, colours, and infra-red spectra.
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