FRIF TE Quality

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About

Friction Ridge Image and Features (FRIF) Technology Evaluation (TE) Quality, or FRIF TE Quality, is an evaluation of algorithms that assess the utility of fingerprint images for use in a biometric recognition system. Given an image of a fingerprint, algorithms return a score [0, 100] assessing the overall quality, and may additionally return information about image characteristics that help specify quality. Information gleaned from this evaluation will help advise ISO/IEC JTC 1/SC 37 in their development of ISO/IEC 29794-4 and ISO/IEC 29794-12.

Participate

The submission window will open in the coming months

1. Fill out the request for the dataset agreement to receive the validation dataset.
2. Wrap your algorithm in the FRIF TE Quality application programming interface (API) and build it as a shared library.
3. Follow the instructions for validation on GitHub.
4. Complete, sign, date, and scan the participation agreement (coming soon).
5. Upload the signed and encrypted output of validation (step 3), your public key, and your completed and signed evaluation agreement via the NIST FRIF TE Quality submission form (coming soon).

Related Links

• ISO/IEC 29794-4:2024: Finger Image Quality
  • Published started for fingerprint image quality (new version under development)
  • NFIQ 2: Reference implementation for ISO/IEC 29794-4
• ISO/IEC AWI 29794-12: Fingermark Image Quality
  • Standard in development for latent fingerprint image quality
• OpenLQM
  • Latent fingerprint image quality software
• Face Analysis Technology Evaluation (FATE) Quality

Contact

Questions and comments should be addressed to the team privately by emailing frifte [at] nist.gov (frifte[at]nist[dot]gov). Public comments on code can be made on the FRIF TE GitHub Issues Page.

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