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Toward Synthetic Physical Fingerprint Targets

  • Biometric fingerprint identification hinges on the reliability of its sensors; however, calibrating and standardizing these sensors poses significant challenges, particularly in regards 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 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 provide 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.

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Author:Laurenz RuzickaORCiD, Bernhard StroblORCiD, Stephan Bergmann, Gerd NoldenORCiD, Tom Michalsky, Christoph DomscheitORCiD, Jannis PriesnitzORCiD, Florian BlümelORCiD, Bernhard Kohn, Clemens HeitzingerORCiD
URN:urn:nbn:de:hebis:ds114-opus4-4395
DOI:https://doi.org/10.3390/s24092847
ISSN:1424-8220
Parent Title (English):Sensors
Publisher:MDPI
Place of publication:Basel
Editor:Sheryl Berlin Brahnam
Document Type:Article
Language:English
Year of Completion:2024
Publishing Institution:Hochschule Darmstadt
Release Date:2024/06/04
Tag:biometric; fingerprint; phantom; sensor; standardization; synthetic; validation
GND Keyword:-
Volume:24
Issue:9
Article Number:2847
Page Number:42
Note:
Originalveröffentlichung: Ruzicka, L.; Strobl, B.; Bergmann, S.; Nolden, G.; Michalsky, T.; Domscheit, C.; Priesnitz, J.; Blümel, F.; Kohn, B.; Heitzinger, C. Toward Synthetic Physical Fingerprint Targets. Sensors 2024, 24, 2847. https://doi.org/10.3390/s24092847
Institutes:Informatik
da/sec - Biometrics and Internet Security Research Group
OpenAIRE:OpenAIRE
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International