M. Anokhin, I. Koryttsev

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Abstract. In article the short description of the most often used methods of classification at pattern recognition is given. The main attention is paid to the methods allowing development of a system for image recognition in a real time scale. The features formation method on the base of two-dimensional spatial spectrums of objects images is offered and application of similarity metrics in a decision-making rule for image classification is described. Experimental data of correct and erroneous recognition probabilities as well as image classification time depending on a number of features and on the identification threshold value are presented and analyzed.

Key words: image, classification, probability, recognition of images, Fourier transform, similarity criterion.

DECISION-MAKING RULE EFFICIENCY ESTIMATION WITH APPLYING SIMILARITY METRICS

ECONTECHMOD
an international quarterly journal on economics of technology and modelling processes