DOI:
10.34229/KCA2522-9664.24.1.15
UDC 004.93:004.89
1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 vlopanas@ukr.net
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2 Digital Technologies and Artificial Intelligence Research Institute, Tashkent, Uzbekistan
sh.fazilov@gmail.com
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3 Institute for Fundamental and Applied Research at the National Research
University "Tashkent state technical University," Tashkent, Uzbekistan
s_radjabov@yahoo.com
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MULTILEVEL FACE RECOGNITION SYSTEM
Abstract. The problem of biometric person identification based on component-based face recognition is considered. It is shown that the face recognition system can be represented as a hierarchically organized multilevel system in which an ensemble of local classifiers forms “soft” decisions about the belonging of images of individual components of the face to given classes. Then, based on the integration of these decisions, the formation of the final decision on whether the recognized face belongs to one of the given classes is realized. The problems of constructing a model of a local classifier, as well as choosing an integrator of intermediate solutions of local classifiers, are formulated and solved.
Keywords: pattern recognition, multilevel recognition system, classifier ensemble, classifier combination rule, decision making.
full text
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