Research of the efficiency of application of technologies of wavelet analysis in the tasks of recognition of images

Abstract

The work is devoted to the experimental comparison of the accuracy of classification methods on the problem of pattern recognition in images using wavelet analysis technologies and without. In particular, the interaction of the ring-projection wavelet-fractal method for identifying features with classical classification methods such as "Naive Bayes classifier" and "Support vector machines" is investigated. The experimental test results are given in the form of a table. As a result, it is established that the introduction of wavelet analysis into the construction of image classification models is justified, and leads to a relatively small but significant increase in the classification accuracy.