FRIF TE Exemplar One-to-Many (FRIF TE E1N)

About

Friction Ridge Image and Features (FRIF) Technology Evaluation (TE) Exemplar One-to-Many (E1N), or FRIF TE E1N, is an open-set identification evaluation of algorithms that automatically extract and use features from all types of exemplar friction ridge images (e.g., rolled fingerprints, palm prints, slaps) and later use those features to search for similar candidates in databases of millions of subjects. E1N exercises the template creation and template search algorithms at the core of an Automated Biometric Identification System (ABIS), not the system itself.

Participate

Instructions coming soon. We anticipate participation beginning in Fall 2024. Please review, comment on, and study the Application Programming Interface (API) and test plan while you wait.

History

FRIF E1N is a relaunch of previous evaluations conducted by NIST under the FpVTE moniker. 

• FpVTE 2012
  • NIST IR 8034: Fingerprint Vendor Technology Evaluation (Jan 2015)
• FpVTE 2003
  • NIST IR 7123: Fingerprint Vendor Technology Evaluation 2003: Summary of Results and Analysis Report (June 2004)

Contact

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

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