Open AccessDevelopment of a Face Identification System’s Prototype
Author(s) -
Світлана Ткаченко,
A V Pichugina,
A A Shpilevoy,
A. I. Zakharov
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2224/1/012003
Subject(s) - computer science , artificial intelligence , classifier (uml) , support vector machine , artificial neural network , facial recognition system , face (sociological concept) , principal component analysis , identification (biology) , interface (matter) , component (thermodynamics) , pattern recognition (psychology) , machine learning , computer vision , operating system , social science , botany , thermodynamics , physics , bubble , maximum bubble pressure method , sociology , biology
The paper considers the development of a prototype of a user identification system by face. The system uses face recognition technology built on base points. Neural networks and machine learning methods are used for development of this system. The system is designed using principal component analysis, support vector machine classifier and deep artificial neural networks. We have developed a user-friendly interface. The system has been verified on test images and has been shown sufficient accuracy for identifying people by their photos.