RESEARCH OF INNOVATIVE AUTHENTICATION: A DEEP DIVE INTO BIOMETRIC ACCESS TECHNOLOGIES

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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Publication Details

Journal
Herald of Kazakh-British technical university
Published
2025-03-24
DOI
https://doi.org/10.55452/1998-6688-2025-22-1-103-113
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

RESEARCH OF INNOVATIVE AUTHENTICATION: A DEEP DIVE INTO BIOMETRIC ACCESS TECHNOLOGIES

Yenlik Begimbayeva, D. Kaiypbergen
Herald of Kazakh-British technical university
Biometric Identification and Security
article

RESEARCH OF INNOVATIVE AUTHENTICATION: A DEEP DIVE INTO BIOMETRIC ACCESS TECHNOLOGIES

Yenlik Begimbayeva, D. Kaiypbergen
article en

Abstract

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.

Herald of Kazakh-British technical universityVol. 22(1)
Kazakh-British Technical University (KZ), Almaty University of Power Engineering and Telecommunications (KZ)
Openalex Percentile: Top 93%
Biometric Identification and Security
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