AI-Driven Identity Verification: Using Facial Recognition, Voice Analysis, and Document Verification to Prevent Identity Theft

Waqas Ishtiaq

doi:10.15662/IJRAI.2023.0605005

Authors

Waqas Ishtiaq University of Cincinnati, USA Author

DOI:

https://doi.org/10.15662/IJRAI.2023.0605005

Keywords:

Artificial Intelligence (AI), Identity Verification, Facial Recognition, Voice Biometrics, Document Authentication, Multimodal Biometrics, Identity Theft, Privacy, Decentralized Identity, Cybersecurity

Abstract

Identity theft is one of the fastest-growing forms of cybercrime, driven by large-scale data breaches, phishing, and increasingly sophisticated impersonation attacks. Traditional identity verification methods such as passwords, PINs, and physical documents have proven inadequate in ensuring security at scale. Artificial Intelligence (AI) has emerged as a transformative enabler of next-generation identity verification by leveraging multimodal techniques, including facial recognition, voice biometrics, and document authentication. The paper discusses how AI-based verification systems can be used to prevent identity theft and how the system is used in real-time adaptive, and frictionless authentication over high-stakes areas, including banking, healthcare, e-commerce, and government services. We introduce a multi-layered verification system that combines the facial, voice and document verification modules in a single decision layer to minimize the false positives and negative but enhances the system resistance to spoofing and adversarial attacks. Practical implementations, advantages and governance are described using case studies of financial institutions, e-commerce websites and national identity programs. Nevertheless, there are still obstacles, such as demographic bias, privacy risks, adversarial vulnerability and lack of a coherent regulatory framework that makes it difficult to achieve mass adoption. In the future, we will address future directions in the area of decentralized identity, federated learning, zero-knowledge proofs, explainable AI, and international regulatory alignment. These innovations will work towards building trust, fairness and interoperability in digital identity ecosystems. Finally, this paper shows that AI-based identity verification is not merely a technological breakthrough but one of the essential needs to protect individuals, organizations, and governments against identity theft during the digital age.

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