Comprehensive Survey: Biometric User Authentication Application, Evaluation, and Discussion
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Abstract (arXiv)
This paper conducts an extensive review of biometric user authentication literature, addressing three primary research questions: (1) commonly used biometric traits and their suitability for specific applications, (2) performance factors such as security, convenience, and robustness, and potential countermeasures against cyberattacks, and (3) factors affecting biometric system accuracy and po-tential improvements. Our analysis delves into physiological and behavioral traits, exploring their pros and cons. We discuss factors influencing biometric system effectiveness and highlight areas for enhancement. Our study differs from previous surveys by extensively examining biometric traits, exploring various application domains, and analyzing measures to mitigate cyberattacks. This paper aims to inform researchers and practitioners about the biometric authentication landscape and guide future advancements.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jul 2023.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 1.
5 papers.
- 2024Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipelinecited by 2
- 2025A Comprehensive Re-Evaluation of Biometric Modality Properties in the Modern Eracited by 2
- 2025Beyond Appearance: Transformer-based Person Identification from Conversational Dynamicscited by 2
- 2025Two-Stream Spatial-Temporal Transformer Framework for Person Identification via Natural Conversational Keypointscited by 0
- 2026Transfer Learning of Keystroke Dynamics for Cross-Device User Authenticationcited by 0
- 2026Transfer Learning of Keystroke Dynamics for Cross-Device User Authentication17 Aug 2026
- 2025Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics6 Oct 2025
- 2025A Comprehensive Re-Evaluation of Biometric Modality Properties in the Modern Era19 Aug 2025
- 2025Two-Stream Spatial-Temporal Transformer Framework for Person Identification via Natural Conversational Keypoints28 Feb 2025
- 2024Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipeline26 Feb 2024