LivDet 2021 Fingerprint Liveness Detection Competition -- Into the unknown
Not on the map. Why?
Abstract (arXiv)
The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection. The proposed "Liveness Detection in Action" and "Fingerprint representation" challenges were aimed to evaluate the impact of a PAD embedded into a verification system, and the effectiveness and compactness of feature sets for mobile applications. Furthermore, we experimented a new spoof fabrication method that has particularly affected the final results. Twenty-three algorithms were submitted to the competition, the maximum number ever achieved by LivDet.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 23 Aug 2021.
Builds on
4 of 9 references.
References · 4
- 2017Fingerprint Spoof Bustercited by 27
- 2019LivDet in Action - Fingerprint Liveness Detection Competition 2019cited by 17
- 2019Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systemscited by 4
- 2020Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?cited by 3
Built on by
Citing papers per year: 2022: 2; 2023: 5; 2024: 1; 2025: 1; 2026: 2.
11 papers.
- 2022SpoofGAN: Synthetic Fingerprint Spoof Imagescited by 17
- 2022Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021cited by 5
- 2024Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Modelscited by 4
- 2023Deep Learning based Fingerprint Presentation Attack Detection: A Comprehensive Surveycited by 2
- 2023ViT Unified: Joint Fingerprint Recognition and Presentation Attack Detectioncited by 1
- 2025Saliency-Guided Training for Fingerprint Presentation Attack Detectioncited by 1
- 2023Motion ID: Human Authentication Approachcited by 0
- 2023Introduction to Presentation Attack Detection in Fingerprint Biometricscited by 0
- 2023RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Imagescited by 0
- 2026What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detectioncited by 0
- 2026Cascade Forgery Mining Network for Fingerprint Presentation Attack Detectioncited by 0
- 2026Cascade Forgery Mining Network for Fingerprint Presentation Attack Detection27 Jul 2026
- 2026What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection11 Jun 2026
- 2025Saliency-Guided Training for Fingerprint Presentation Attack Detection4 May 2025
- 2024Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models1 May 2024
- 2023RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images18 Aug 2023
- 2023Deep Learning based Fingerprint Presentation Attack Detection: A Comprehensive Survey27 May 2023
- 2023ViT Unified: Joint Fingerprint Recognition and Presentation Attack Detection12 May 2023
- 2023Introduction to Presentation Attack Detection in Fingerprint Biometrics14 Feb 2023
- 2023Motion ID: Human Authentication Approach25 Jan 2023
- 2022SpoofGAN: Synthetic Fingerprint Spoof Images13 Apr 2022
- 2022Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 202115 Feb 2022