kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2025-22-1-103-113kaz29-1736Research ArticleКОМПЬЮТЕРНЫЕ НАУКИCOMPUTER SCIENCEИССЛЕДОВАНИЕ ИННОВАЦИОННЫХ МЕТОДОВ АУТЕНТИФИКАЦИИ: ПОГРУЖЕНИЕ В ТЕХНОЛОГИИ БИОМЕТРИЧЕСКОГО ДОСТУПАRESEARCH OF INNOVATIVE AUTHENTICATION: A DEEP DIVE INTO BIOMETRIC ACCESS TECHNOLOGIEShttps://orcid.org/0009-0003-5052-6975КайыпбергенД. Т.KaiypbergenD.

 магистрант 

 г. Алматы 

 Master’s student 

 Almaty 

muratbayev@kbtu.kzhttps://orcid.org/0000-0002-4907-3345БегимбаеваЕ. Е.BegimbayevaYe.

 ассоциированный профессор

 г. Алматы 

Associate Professor 

Almaty 

enlik89@gmail.comКазахстанско-Британский технический университетКазахстанKazakh-British Technical UniversityKazakhstanАлматинский университет энергетики и связи имени Г. ДаукееваКазахстанAlmaty University of Energy and Communications named after G. DaukeevKazakhstan202524032025221103113Copyright © Кайыпберген Д.Т., Бегимбаева Е.Е., 20252025Кайыпберген Д.Т., Бегимбаева Е.Е.Kaiypbergen D., Begimbayeva Y.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/1736

Проходя через эпоху цифровизации, область биометрической аутентификации значительно расширилась, став основой современных систем безопасности. Это исследование изучает передовые методологии и передовые технологии, которые находятся на переднем крае эволюции систем биометрического доступа. Переход от элементарных техник к продвинутым системам, интегрирующим распознавание лиц, сканирование отпечатков пальцев, отслеживание радужки глаза и дополнительные модальности, каждая из которых усилена искусственным интеллектом (AI) и алгоритмами машинного обучения (ML), подвергается тщательному изучению. Особое внимание уделяется тому, как слияние точности, скорости и пользовательского опыта играет ключевую роль в широком принятии этих технологий. В статье также более глубоко рассматриваются последствия обработки биометрических данных, обсуждаются критические вопросы безопасности и конфиденциальности, а также этические и регуляторные вызовы, возникающие при внедрении этих технологий. Более того, это обсуждение расширяется до потенциала этих биометрических систем для адаптации к динамическим угрозам безопасности, подчеркивая их устойчивость и гибкость в быстро меняющемся цифровом ландшафте.

As we navigate through the digital era, the scope of biometric authentication has significantly broadened, establishing itself as a cornerstone of modern security systems. This study explores the sophisticated methodologies and leading-edge technologies that are at the forefront of biometric access systems’ evolution. The transition from elemental techniques to advanced systems integrating facial recognition, fingerprint scanning, iris tracking, and additional modalities – each enhanced by artificial intelligence (AI) and machine learning (ML) – is thoroughly examined. A special focus is given to how the convergence of accuracy, speed, and user experience plays a crucial role in the broad acceptance of these technologies. The paper also delves deeper into the implications of biometric data processing, discussing the critical issues of security and privacy, as well as the ethical and regulatory challenges faced in deploying these technologies. Moreover, this discussion extends to the potential for these biometric systems to adapt to dynamic security threats, highlighting their resilience and flexibility in a rapidly evolving digital landscape.

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