3D Biometrics: A Survey

Existing biometric systems are predominantly built upon 2D biometrics which are vulnerable to presentation attacks, and have a limited coverage of the biometric surface. 3D biometrics is emerging due to the rapid development of 3D sensing technology. 3D biometrics is effective in defending against spoofing attacks and potentially offer more robust performance under different conditions. However, there exist many challenges in developing effective 3D biometric systems in terms of 3D biometrics reconstruction and recognition. In this paper, we present a systematic survey on the latest developments of 3D biometric systems guided by our proposed taxonomy of methods for 3D biometrics.

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Publication Details

Journal
ACM Computing Surveys
Published
2026-03-03
DOI
https://doi.org/10.1145/3800703
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

3D Biometrics: A Survey

Jiankun Hu, Min Wang
ACM Computing Surveys
Biometric Identification and Security
article

3D Biometrics: A Survey

Jiankun Hu, Min Wang
article en

Abstract

Existing biometric systems are predominantly built upon 2D biometrics which are vulnerable to presentation attacks, and have a limited coverage of the biometric surface. 3D biometrics is emerging due to the rapid development of 3D sensing technology. 3D biometrics is effective in defending against spoofing attacks and potentially offer more robust performance under different conditions. However, there exist many challenges in developing effective 3D biometric systems in terms of 3D biometrics reconstruction and recognition. In this paper, we present a systematic survey on the latest developments of 3D biometric systems guided by our proposed taxonomy of methods for 3D biometrics.

ACM Computing Surveys
University of Canberra (AU), Computing Center (RU), Institute for Clinical Social Work (US)
Openalex Percentile: Top 38%
Biometric Identification and Security
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