信息技术 使用统计模型的生物特征性能评估方法

[中文适用范围]： 本文件提供了从小型生物特征样本集中估算错误匹配率（FMR）的统计方法。本文件旨在： — 使用极值统计模型进行外推，制定生物特征性能评估方法； — 提供估算生物特征验证系统 FMR 的统计方法； — 适用于包含产生似然差异或相似度分数的算法的系统；注：在本文件中，如无其他规定，分数均指相似度分数。 — 指定数据记录和结果报告方法； — 介绍用于估算生物特征性能的指标。以下内容不属于本文件的讨论范围。 — 一对多实现的误报识别率估算。 — 验证交易的错误接受率估算。 [外文原描述]： 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.