Multimodal biometric authentication: A review

Swimpy Pahuja, Navdeep Goel
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Abstract

Critical applications ranging from sensitive military data to restricted area access demand selective user authentication. The prevalent methods of tokens, passwords, and other commonly used techniques proved deficient as they can be easily stolen, lost, or broken to gain illegitimate access, leading to data spillage. Since data safety against tricksters is a significant issue nowadays, biometrics is one of the unique human characteristic-based techniques that may give better solutions in this regard. The technique entails biometric authentication of users based on an individual’s inimitable physiological or behavioral characteristics to provide access to a specific application or data. This paper provides a detailed description of authentication and its approaches, focusing on biometric-based authentication methods, the primary challenges they encounter, and how they have been addressed. The tabular view shows the benefits and downsides of various multimodal biometric systems, and open research challenges. To put it another way, this article lays out a roadmap for the emergence of multimodal biometric-based authentication, covering both the challenges and the solutions that have been proposed. Further, the urge to develop various multi-trait-based methods for secure authentication and data privacy is focused. Lastly, some multimodal biometric systems comprising fingerprint and iris modalities have been compared based on False Accept Rate (FAR), False Reject Rate (FRR), and accuracy to find the best secure model with easy accessibility.
多模式生物识别身份验证:综述
从敏感的军事数据到限制区域访问等关键应用都需要有选择性的用户身份验证。事实证明,令牌、密码和其他常用技术的普遍方法存在缺陷,因为它们很容易被盗、丢失或破解,从而获得非法访问权,导致数据泄漏。如今,防止数据被篡改是一个重要问题,而生物识别技术是基于人类特征的独特技术之一,可以在这方面提供更好的解决方案。该技术需要根据个人独特的生理或行为特征对用户进行生物识别认证,以提供对特定应用程序或数据的访问权限。本文详细介绍了身份验证及其方法,重点是基于生物特征的身份验证方法、它们遇到的主要挑战以及如何应对这些挑战。表格显示了各种多模态生物识别系统的优点和缺点,以及公开的研究挑战。换句话说,这篇文章为基于多模态生物识别的身份验证技术的出现绘制了路线图,涵盖了所面临的挑战和已提出的解决方案。此外,本文还重点探讨了开发各种基于多特征的安全认证和数据隐私方法的迫切性。最后,根据错误接受率(FAR)、错误拒绝率(FRR)和准确率,比较了一些由指纹和虹膜模式组成的多模式生物识别系统,以找到易于访问的最佳安全模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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