Open AccessUsing object-oriented databases in face recognition
Author(s) -
Xinzhi Dong,
V. I. Ionin
Publication year - 2020
Publication title -
sistemnyj analiz i prikladnaâ informatika
Language(s) - English
Resource type - Journals
eISSN - 2414-0481
pISSN - 2309-4923
DOI - 10.21122/2309-4923-2020-2-54-60
Subject(s) - computer science , identifier , object (grammar) , convolutional neural network , class (philosophy) , identification (biology) , face (sociological concept) , frame (networking) , artificial intelligence , database , facial recognition system , computer vision , pattern recognition (psychology) , telecommunications , social science , botany , sociology , biology , programming language
The aim of the work is to develop an algorithm functioning by a face recognition system using object-oriented databases. The system provides automatic identification of the desired object or identifies someone using a digital photo or video frame from a video source. The technology includes comparing pre-scanned face elements from the resulting image with prototypes of faces stored in the database. Modern packages of object-oriented databases give the user the opportunity to create a new class with the specified attributes and methods, obtain classes that inherit attributes and methods from super classes, create instances of the class, each of which has a unique object identifier, extract these instances one by one or in groups, and also download and perform these procedures. Using a convolutional neural network in the algorithm allows the transition from specific features of the image to more abstract details.