kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2023-20-2-115-124kaz29-712Research ArticleКОМПЬЮТЕРНЫЕ НАУКИCOMPUTER SCIENCEИССЛЕДОВАНИЕ И РАЗРАБОТКА БИОМЕТРИЧЕСКИХ МЕТОДОВRESEARCH AND DEVELOPMENT OF BIOMETRIC METHODShttps://orcid.org/0009-0006-8556-8851КуланбайШ. Б.KulanbaySh. B.

Куланбай Шолпан Бахыткызы, Магистрант

пр. Абая, 66, 120000, г. Кызылорда

Kulanbay Sholpan Bakhytkyzy, Master student

66 Abai Ave., 120000, Kyzylorda

shkulanbay@mail.ruhttps://orcid.org/0000-0002-9496-2387БекетоваГ. С.BeketovaG. S.

Бекетова Гулжанат Сахитжанкызы, PhD, старший преподаватель

р. Абая, 66, 120000, г. Кызылорда

Scopus Author ID:57189902182

Beketova Gulzhanat Sakhitzhankyzy, PhD, Senior Lecturer

66 Abai Ave., 120000, Kyzylorda

beketova_gs@mail.ruhttps://orcid.org/0000-0003-4501-7343ТулегеноваЭ. Н.TulegenovaE. N.

Толегенова Эльмира Нурланкызы, Ассоциированный профессор, кандидат экономических наук

пр. Абая, 66, 120000, г. Кызылорда

Scopus Author ID: 57212769313

Tolegenova Elmira Nurlankyzy, Associate Professor, PhD in Economics

66 Abai Ave., 120000, Kyzylorda

etulegenova80@mail.ruКызылординский университет имени Коркыт атаКазахстанKyzylorda University named after Korkyt ataKazakhstan202302072023202115124Copyright © Куланбай Ш.Б., Бекетова Г.С., Тулегенова Э.Н., 20232023Куланбай Ш.Б., Бекетова Г.С., Тулегенова Э.Н.Kulanbay S.B., Beketova G.S., Tulegenova E.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/712

Системы идентификации играют очень важную роль в современном обществе. Сложные требования безопасности побудили экспертов изучить способы использования биометрии для идентификации клиентов. В данной статье рассмотрено понятие биометрии, биометрических данных и его вариантов. Цель статьи – изучить процесс идентификации, разработать его усовершенствованный вариант и внедрить новшество. Таким образом, в качестве метода исследования послужили следующие пункты:- Инициализация.- Фитнес-функции.- Непонятный кластерный метод.Результаты показали, что развитие биометрических систем и биометрических датчиков может улучшить идентичность и предотвратить использование идентичности другими, система имеет большой потенциал для повышения безопасности и точности системы биометрических технологий. Биометрические системы повышают безопасность пользователей, а также обеспечивают точность идентификации личности. Таким образом, точность предлагаемого метода сравнивается с четырьмя современными методами. Сравнение показывает, что предложенный подход обеспечивает высокую точность около 99,89% и низкую частоту ошибок – 0,18%. Оказывается, существует реальный потенциал интеграции биометрии отпечатков пальцев и радужной оболочки глаза у многих субъектов при соответствующей оценке.

Identification systems play a very important role in today's society. Complex security requirements have prompted experts to explore ways in which biometrics can be used to identify customers. In this article, the concept of biometrics, biometric data and its variants are considered. The purpose of the article is to study the process of identification, to produce its improved version and introduce innovation. Thus, the following points served as a research method:- Initialization.- Fitness functions.- Unclear clusterleu method.The results showed that the advancement of biometric systems and biometric sensors can improve the identity and prevent others from using the identity, the system has great potential to improve the security and accuracy of the biometric technology system. Biometric systems increase the security of users, as well as ensure accuracy in the identification of personal identity. Thus, the accuracy of the proposed method is compared with four modern methods. The comparison shows that the proposed approach provided a high accuracy of about 99.89% and a low error rate of 0.18%. It turns out that there is real potential for the integration of fingerprints and iris biometrics in many subjects with the appropriate assessment.

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The authors declare that there are no conflicts of interest present.