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AI-Driven Dual Biometric Authentication Using Face and Voice Recognition for Secure Smart Homes

Year: 2025

Type: article

Abstract: Smart homes require robust security systems to mitigate threats posed by unauthorized access. This paper proposes a dual biometric authentication system combining facial and voice recognition, empowered by deep learning models and enhanced with liveness detection and privacy-preserving algorithms. The proposed approach integrates a weighted fusion strategy, bone-conduction-based liveness detection, and homomorphic encryption. The framework is validated using simulated data and achieves an authentication accuracy of 98.3%, significantly outperforming unimodal systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15870746

Authors: Bokefode, Dr. Shudhodhan, Shahabade, Dr. Ramesh, Sakure, Dr. Kishor

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949754550

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