ID4Africa 2026

ID4Africa 2026

TECH5, Visa, and Presight will jointly participate in the ID4Africa 2026 Annual General Meeting (AGM) and exhibition.

NIST One-To-Many (FRIF TE E1N) Evaluation: How it Works and Why it is Important

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.