Application of biometric systems in face identification technologies

Author:

Kulikov A. A.1ORCID

Affiliation:

1. MIREA – Russian Technological University

Abstract

The paper presents an analytical review of the application of biometric recognition systems in relation to facial image identification technologies. The classification of biometric systems is presented. The trends of technological progress in the field of biometrics and facial recognition capabilities are considered. It is determined that in 2020 there is a trend of transition from the use of biometric recognition technologies in traditional state security systems to the sphere of commercial and user applications. The process of «linking» encryption keys and passwords with the biometric parameters of the data subject is described. It is proposed that a biometric feature and a biometrics parameter mean a certain value that has a physical meaning that characterizes the subject itself. The possibility of using circular neighborhood and bilinear interpolation of pixel intensity values in biometrics is also presented. This will make it possible to build a local binary template. In order to solve the problem of identification of persons, it is advisable to investigate the essence of biometric systems in the technologies of identification of persons, their types, identifying the shortcomings of each of them, on the basis of which to present the directions of elimination and search for the most reliable technologies. The essence of the use of biometric systems in the technologies of identification of persons is, for example, that the user can provide the bank or other counterparty with evidence that it is he who wants to use the services on his accounts. At the same time, the demand has increased for contactless biometric solutions. These technologies are implemented in order to conduct additional biometric verification of users. This allows to minimize possible fraud or violation of the internal rules of the service, for example, the transfer of accounts of some registered users to others.

Publisher

RTU MIREA

Reference18 articles.

1. Grishina E.A. Biometric technologies in Russian banks: dreams or reality. Nauka i obshchestvo. 2015;3:17−21 (in Russ.).

2. Vorona V.A., Kostenko V.O. Biometric identification technologies in access control and management systems. Computational Nanotechnologies. 2016;3:224−241 (in Russ.).

3. Global’noe issledovanie «Doverie k tsifrovym tekhnologiyam» (Global research «Trust in Digital Technologies»). 2021. Available from URL: https://www.pwc.ru/ru/publications/dti-2021/e-version-digital-trustinsights-2021-in-russian.pdf

4. Tractica: Ob’’em rynka biometrii k 2025 godu dostignet $15 mlrd. (Tractica: The biometrics market will reach $ 15 billion by 2025). Available from URL: https://iot.ru/promyshlennost/tractica-obem-rynka-biometrii-k-2025-godu-dostignet-15-mlrd

5. Obzor mezhdunarodnogo rynka biometricheskikh tekhnologii i ikh primenenie v finansovom sektore. 2018, yanvar’, Moskva. (Review of the international market of biometric technologies and their application in the financial sector. January 2018. Moscow. Available from URL: https://cbr.ru/Content/Document/File/36012/rev_bio.pdf

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