АЛГОРИТМЫ РАСПОЗНАВАНИЯ ЛИЦ
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

THE ALGORITHMS FOR FACIAL RECOGNITION

Logacheva O.E.   Kostyuchenko V.V.  

UDC 004.93
DOI:

  • Abstract
  • List of references
  • About authors

The basic idea of face recognition is the selection of informative features in the face image, encoding, and comparison of the encoded entity with the database. In this paper the analysis of algorithms based on the method of principal components, linear discriminant analysis, detection of local features, with the application of Gabor wavelets, discrete cosine transform, local binary patterns are given. It is noted that the correlation methods are characterized by computational complexity and require large amounts of memory, in this regard, in practice it is reasonable to use appropriate methods to reduce the dimensionality of the features. Shows the latest developments of the company "Vokord" based on the use of deep neural networks using a test database with a million photos.

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22. http://www.ixbt.com/news/2016/09/05/algoritm-identifikacii-lickompanii-vokord-pokazal-luchshij-rezultat-v-mire-v-teste-megaface.html

Logacheva Oksana Evgenievna

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Kostyuchenko Vyacheslav Vladimirovich

Radio engineering Corporation "VEGA"

Voronezh, Russian Federation

Keywords: detection, face, algorithm, machine vision, safety

For citation: Logacheva O.E. Kostyuchenko V.V. THE ALGORITHMS FOR FACIAL RECOGNITION. Modeling, Optimization and Information Technology. 2016;4(4). Available from: https://moit.vivt.ru/wp-content/uploads/2016/12/LogachevaKostyuchenko_4_16_1.pdf DOI: (In Russ).

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