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BIOMETRICAUTHENTICATION OFSTUDENTS TO CONTROLTHE LEARNING PROCESSIN ONLINE EDUCATION D. MuratulyNatalya DenissovaЮрий Крак2022 год

BIOMETRIC AUTHENTICATION OF STUDENTS TO CONTROL THE LEARNING PROCESS IN ONLINE EDUCATION
статья из журнала

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Аннотация: This article considers the relevant problem of biometric authentication of students in higher educational institutions. The authors present the results of using a turnstile system with a face recognition terminal, with the ability to provide unique biometric data in real time. The study was conducted among students of the D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan. The article presents the results of studies of one of the biometric methods of personality recognition. In this method, the process of proving and verifying the identity of the person can be carried out through the presentation by the user of his biometric image. The processing results are sorted and compared with typical images from the database. With its positive decision, the developed software issues the results of biometric authentication of a person who presented himself in front of a digital scanner. The applied value of the results of the work lies in the possibility of using them in the field of education, and various industries to make a decision on providing access to information resources. In the course of the study, a technology was developed to provide biometric authentication processes for university students. Domestic and foreign scientists who have made a significant contribution to the development of methods for processing facial images are noted. A review of biometric methods of recognition is carried out, and tools for electronic authentication and modern information security systems are described. Factors that significantly affect the probability of correct recognition of students’ faces are determined. The analysis of ways to increase the probability of correct recognition of students by the image of the face is carried out.
Год издания: 2022
Авторы: D. Muratuly, Natalya Denissova, Юрий Крак, Kurmash Apayev
Источник: Scientific Journal of Astana IT University
Ключевые слова: Face recognition and analysis, Digital Media and Visual Art
Другие ссылки: Scientific Journal of Astana IT University (PDF)
Scientific Journal of Astana IT University (HTML)
DOAJ (DOAJ: Directory of Open Access Journals) (HTML)