mlsanityData to 14 Oct 2026

SynCoLFinGer: Synthetic Contactless Fingerprint Generator

arXiv 2110.09144 ↗First posted 18 Oct 2021cs.CVcited by 11

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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

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  2. 2020Demographic Bias in Biometrics: A Survey on an Emerging Challengecited by 93
  3. 2017FingerNet: An Unified Deep Network for Fingerprint Minutiae Extractioncited by 36
  4. 2021Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspectscited by 10
  5. 2020SynFi: Automatic Synthetic Fingerprint Generationcited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 3; 2026: 2.

11 papers.