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API STD 12R1: Installation, Operation, Maintenance, Inspection, and Repair of Tanks in Production Service

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API Bulletin 592 – Elements of a Fixed Equipment Mechanical Integrity (FE MI) Program

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API SPEC Q1: Addenda 2

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API TR 2583 : Measurement of Produced Water for Custody Transfer

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API TR 2581: Wet Gas Sampling

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API TR 2581 Wet Gas Sampling : Errata 1

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API SPEC 6AV1: Validation of Safety and Shutdown Valves for Sandy Service : Edition 4

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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

Language Detail Icon

English

Format Secure Icon

Secure PDF

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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