Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Towards Synthetic, Physical Fingerprint Targets

Laurenz Ruzicka
* ORCID logo ,
Bernhard Strobl
,
Stephan Bergmann
,
Gerd Nolden
,
Tom Michalsky
,
Christoph Domscheit
,
Jannis Priesnitz
ORCID logo ,
Florian Blümel
,
Bernhard Kohn
,
Clemens Heitzinger
Version 1 : Received: 20 March 2024 / Approved: 20 March 2024 / Online: 20 March 2024 (11:48:08 CET)

How to cite: Ruzicka, L.; Strobl, B.; Bergmann, S.; Nolden, G.; Michalsky, T.; Domscheit, C.; Priesnitz, J.; Blümel, F.; Kohn, B.; Heitzinger, C. Towards Synthetic, Physical Fingerprint Targets. Preprints 2024, 2024031221. https://doi.org/10.20944/preprints202403.1221.v1 Ruzicka, L.; Strobl, B.; Bergmann, S.; Nolden, G.; Michalsky, T.; Domscheit, C.; Priesnitz, J.; Blümel, F.; Kohn, B.; Heitzinger, C. Towards Synthetic, Physical Fingerprint Targets. Preprints 2024, 2024031221. https://doi.org/10.20944/preprints202403.1221.v1

Abstract

Biometric fingerprint identification hinges on the reliability of its sensors, however, calibrating and standardizing these sensors poses significant challenges, particularly in regard to repeatability and data diversity. To tackle these issues, we propose methodologies for fabricating synthetic 3D fingerprint targets, or phantoms, that closely emulate real human fingerprints. These phantoms enable the precise evaluation and validation of fingerprint sensors under controlled and repeatable conditions. Our research employs laser engraving, 3D printing, and CNC machining techniques, utilizing different materials. We assess the phantoms' fidelity to synthetic fingerprint patterns, intra-class variability, and interoperability across different manufacturing methods. The findings demonstrate that a combination of laser engraving or CNC machining with silicone casting produces finger-like shaped phantoms with high accuracy and consistency for rolled fingerprint recordings. For slap recordings, direct laser engraving of flat silicone targets excels and in the contactless fingerprint sensor setting, 3D printing and silicone filling provides the most favorable attributes. Our work enables a comprehensive, method-independent comparison of various fabrication methodologies, offering a unique perspective on the strengths and weaknesses of each approach. This facilitates a broader understanding of fingerprint recognition system validation and performance assessment.

Keywords

Biometric; Fingerprint; Sensor; Synthetic; Phantom; Standardization; Validation

Subject

Engineering, Safety, Risk, Reliability and Quality

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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