Methods of recognition based on the function of rival similarity

Authors:
N. G. Zagoruiko;I. A. Borisova;V. V. Dyubanov;O. A. Kutnenko
Affiliations:
Sobolev Institute of Mathematics, Sibirean Division, Russian Academy of Sciences, Novosibirsk, Russia 630090;Sobolev Institute of Mathematics, Sibirean Division, Russian Academy of Sciences, Novosibirsk, Russia 630090;Sobolev Institute of Mathematics, Sibirean Division, Russian Academy of Sciences, Novosibirsk, Russia 630090;Sobolev Institute of Mathematics, Sibirean Division, Russian Academy of Sciences, Novosibirsk, Russia 630090
Venue:
Pattern Recognition and Image Analysis
Year:
2008

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Abstract

A unified approach to the development of pattern recognition methods is proposed. The approach is based on the employment of the function of rival similarity (FRiS-function), which adequately represents human methods of evaluation of similarity and difference. Methods of recognition based on this approach are briefly described. Examples of solution of actual and benchmark problems using FRiS-function are given.