MACHINE LEARNING ALGORITHMS FOR BIOMETRIC IDENTIFICATION OF INDIVIDUALS
Abstract
The article is devoted to the use of machine learning algorithms for biometric identification of individuals. The task is one of the tasks solved with the help of machine learning. A database of photos obtained from open sources has been developed, and the result of the work is the name and photos of a person who has already been identified in the database. In this paper, we investigated and analyzed both hybrid methods for conducting biometric identification of persons on images, and the use of convolutional neural network techniques for conducting biometric identification of individuals.
About the Authors
T. S. Shormanov
Казахский Национальный университет им. аль-Фараби
Kazakhstan
Kazakhstan
Sh. A. Dzhomartova
Казахский Национальный университет им. аль-Фараби
Kazakhstan
Kazakhstan
G. Z. Ziyatbekova
Институт информационных и вычислительных технологий КНМОН РК
Kazakhstan
Kazakhstan
B. S. Amirkhanov
Институт информационных и вычислительных технологий КНМОН РК
Kazakhstan
Kazakhstan
М. Алиаскар
Институт информационных и вычислительных технологий КНМОН РК
Kazakhstan
Kazakhstan
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Review
For citations:
Shormanov T.S., Dzhomartova Sh.A., Ziyatbekova G.Z., Amirkhanov B.S., MACHINE LEARNING ALGORITHMS FOR BIOMETRIC IDENTIFICATION OF INDIVIDUALS. Herald of the Kazakh-British Technical University. 2019;16(1):119-128. (In Russ.)
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