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COORDINATOR SIMULATION COMPUTER MODEL WORKING AS APART OF BIOMETRIC RECOGNITION SYSTEM
Author(s) -
Gleb A. Akilin,
Владимир Анатольевич Федоров,
Evgeny V. Gritskevich,
Polina A. Zviagintseva
Publication year - 2020
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2020-6-1-11-21
Subject(s) - biometrics , computer science , representation (politics) , point (geometry) , object (grammar) , noise (video) , artificial intelligence , computer vision , algorithm , image (mathematics) , mathematics , geometry , politics , political science , law
Simulation computer model of an optoelectronic coordinate measurer for point objects is considered that is a part of the subject recognition system based on biometric features. The presented model allows you to virtually explore and analyze the processes of functioning of the coordinator, which ensures optimal coordination of parameters and characteristics of various parts of the device, as well as to choose the most effective algorithm for processing the resulting digital image by minimizing the error of measuring the coordinates of a single point object. The simulation is based on the Monte Carlo method of multiple statistical tests, which provides most accurate representation of noise processes that occur when receiving and converting optical information in the optical-electronic path of a coordinate device, since these processes, under solid equal conditions, make a decisive contribution to the final measurement error. The principles of the model are described and the results obtained are discussed, as well as the future development of the model and its application for solving problems of optimal system design of biometric recognition systems.

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