SynCoLFinGer: Synthetic Contactless Fingerprint Generator
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Abstract (arXiv)
We present the first method for synthetic generation of contactless fingerprint images, referred to as SynCoLFinGer. To this end, the constituent components of contactless fingerprint images regarding capturing, subject characteristics, and environmental influences are modeled and applied to a synthetically generated ridge pattern using the SFinGe algorithm. The proposed method is able to generate different synthetic samples corresponding to a single finger and it can be parameterized to generate contactless fingerprint images of various quality levels. The resemblance of the synthetically generated contactless fingerprints to real fingerprints is confirmed by evaluating biometric sample quality using an adapted NFIQ 2.0 algorithm and biometric utility using a state-of-the-art contactless fingerprint recognition system.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 5 of its 33 references that are in the map. First posted on arXiv 18 Oct 2021.
Builds on
5 of 33 references.
References · 5
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
- 2020Demographic Bias in Biometrics: A Survey on an Emerging Challengecited by 93
- 2017FingerNet: An Unified Deep Network for Fingerprint Minutiae Extractioncited by 36
- 2021Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspectscited by 10
- 2020SynFi: Automatic Synthetic Fingerprint Generationcited by 9
Built on by
Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 3; 2026: 2.
11 papers.
- 2022Synthetic Data in Human Analysis: A Surveycited by 28
- 2023Presentation Attack Detection with Advanced CNN Models for Noncontact-based Fingerprint Systemscited by 10
- 2023FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Datacited by 6
- 2023Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)cited by 3
- 2022Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognitioncited by 2
- 2023MCLFIQ: Mobile Contactless Fingerprint Image Qualitycited by 1
- 2025Ridgeformer: Mutli-Stage Contrastive Training For Fine-grained Cross-Domain Fingerprint Recognitioncited by 1
- 2025Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approachcited by 0
- 2025FingerSplat: Contactless Fingerprint 3D Reconstruction and Generation based on 3D Gaussian Splattingcited by 0
- 2026Identity-Consistent Multi-Pose Generation of Contactless Fingerprintscited by 0
- 2026Generation of Synthetic Fingerphotos with GANscited by 0
- 2026Generation of Synthetic Fingerphotos with GANs15 Aug 2026
- 2026Identity-Consistent Multi-Pose Generation of Contactless Fingerprints5 May 2026
- 2025FingerSplat: Contactless Fingerprint 3D Reconstruction and Generation based on 3D Gaussian Splatting19 Sep 2025
- 2025Ridgeformer: Mutli-Stage Contrastive Training For Fine-grained Cross-Domain Fingerprint Recognition2 Jun 2025
- 2025Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach9 Jan 2025
- 2023FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data29 Oct 2023
- 2023Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)1 Oct 2023
- 2023MCLFIQ: Mobile Contactless Fingerprint Image Quality27 Apr 2023
- 2023Presentation Attack Detection with Advanced CNN Models for Noncontact-based Fingerprint Systems9 Mar 2023
- 2022Synthetic Data in Human Analysis: A Survey19 Aug 2022
- 2022Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition10 Feb 2022