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  3. Toward Synthetic Physical Fingerprint Targets.
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  3. Toward Synthetic Physical Fingerprint Targets.

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Toward Synthetic Physical Fingerprint Targets.

Laurenz Ruzicka1, Bernhard Strobl1, Stephan Bergmann2

  • 1Austrian Institute of Technology, 1210 Vienna, Austria.

Sensors (Basel, Switzerland)
|May 11, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers developed synthetic 3D fingerprint targets (phantoms) to improve biometric sensor calibration and standardization. These phantoms ensure repeatable and diverse data for reliable fingerprint identification system validation.

Keywords:
biometricfingerprintphantomsensorstandardizationsyntheticvalidation

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Area of Science:

  • Biometrics
  • Sensor Technology
  • Materials Science

Background:

  • Biometric fingerprint identification relies heavily on sensor reliability.
  • Challenges exist in calibrating and standardizing fingerprint sensors, affecting repeatability and data diversity.

Purpose of the Study:

  • To propose and evaluate methodologies for fabricating synthetic 3D fingerprint targets (phantoms).
  • To enable precise evaluation and validation of fingerprint sensors under controlled conditions.

Main Methods:

  • Utilized laser engraving, 3D printing, and CNC machining with various materials.
  • Assessed phantom fidelity, intra-class variability, and interoperability across manufacturing methods.

Main Results:

  • Silicone-cast phantoms from laser engraving or CNC machining showed high accuracy for rolled fingerprints.
  • Direct laser engraving on flat silicone targets is optimal for slap recordings.
  • 3D printing with silicone filling is best for contactless fingerprint sensors.

    • Conclusions:

    • Developed a method-independent comparison of phantom fabrication techniques.
    • Identified optimal fabrication methods for different fingerprint sensor types (rolled, slap, contactless).
    • Enhanced understanding of fingerprint recognition system validation and performance assessment.