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ISO 5152:2024
ISO 5152:2024 Information technology – Biometric performance estimation methodologies using statistical models
CDN $233.00
Description
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.
Edition
1
Published Date
2024-07-11
Status
PUBLISHED
Pages
25
Format 
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Abstract
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.
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