Multilevel Face Recognition System

被引：0
|
作者：
V. M. Opanasenko
Sh.Kh. Fazilov
S. S. Radjabov
Sh.S. Kakharov
机构：
[1] National Academy of Sciences of Ukraine,V. M. Glushkov Institute of Cybernetics
[2] Digital Technologies and Artificial Intelligence Research Institute,undefined
[3] Institute of Basic and Applied Research at the TIIAME National Research University,undefined
[4] Kokand University,undefined
来源：
Cybernetics and Systems Analysis | 2024年 / 60卷
关键词：
pattern recognition; multilevel recognition system; classifier ensemble; classifier combination rule; decision making;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problem of biometric person identification on the basis of 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 images of individual components of a face belonging to given classes. Then, based on the integration of these decisions, the final decision on whether the recognized face belongs to one of the given classes is formed. The problems of constructing a local classifier model, as well as choosing an integrator of intermediate solutions of local classifiers, are formulated and solved.
引用
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页码：146 / 151
页数：5
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