Leveraging Machine Learning for Biometric Authentication: Enhancing Security in Online Systems

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Atika Nishat
Hadia Azmat

Abstract

In an increasingly digital world, the need for robust security measures has become paramount. Biometric authentication methods, which utilize unique physiological or behavioral characteristics, offer a promising solution to the challenges of traditional authentication systems. This paper explores the integration of machine learning techniques in enhancing biometric authentication systems, examining their potential to improve security, user experience, and adaptability. We analyze various biometric modalities, discuss the role of machine learning in feature extraction and classification, and address the challenges and future directions of implementing these technologies in online systems.

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How to Cite
Atika Nishat, & Hadia Azmat. (2024). Leveraging Machine Learning for Biometric Authentication: Enhancing Security in Online Systems. Pioneer Research Journal of Computing Science, 1(1), 110–123. Retrieved from https://prjcs.com/index.php/prjcs/article/view/14