Potřebujeme Váš souhlas k využití jednotlivých dat, aby se Vám mimo jiné mohli ukazovat informace týkající se Vašich zájmů. Souhlas udělíte kliknutím na tlačítko „OK“.
Information technology - Biometric performance estimation methodologies using statistical models
Available languages: English
Available design: electronic design (pdf), Print design, CD-ROM
Designation: ISO/IEC 5152-ed.1.0
Publication date: 11/07/2024
Pages: 25
Country: International technical standard
This document provides statistical methodologies to estimate false match rates (FMRs) from small biometric sample sets.
This document intends to:
— lay out a methodology for biometric performance estimation based on extrapolation using extreme value statistical models;
— provide statistical methodologies to estimate FMRs of biometric verification systems;
— be applicable to systems that include algorithms that produce likelihood dissimilarity or similarity scores;
NOTE Throughout the document, if not otherwise specified, scores refer to similarity scores.
— specify the methodology for data recording and result reporting;
— introduce metrics for the estimated biometric performance.
The following are not within the scope of this document.
— Estimation of false positive identification rates for one-to-many implementations.
— Estimation of false accept rates for verification transactions.