MULTILEVEL FACE RECOGNITION SYSTEM

Author:

,Opanasenko V.M.,Fazilov Sh.Kh., ,Radjabov S.S., ,Kakharov Sh.S.,

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.

Publisher

V.M. Glushkov Institute of Cybernetics

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