NIST One-To-Many (FRIF TE E1N) Evaluation: How it Works and Why it is Important
Friction Ridge Image and Features (FRIF) Technology Evaluation (TE) Exemplar One-to-Many (E1N), or FRIF TE E1N, is a new open-set identification evaluation of algorithms launched in 2025 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. Formerly, it was known as FpVTE and was conducted previously in 2012.
TECH5’s Fingerprint Matching Algorithm Becomes the Best in NIST FRIF TE E1N
Visa and TECH5 Announce Strategic Collaboration to Advance Digital Public Infrastructure
