A Definitional Framework for the Human-Biometric Sensor Interaction Model

机译：人与生物传感器交互模型的定义框架

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摘要

Existing definitions for biometric testing and evaluation do not fully explain errors in a biometric system. This paper provides a definitional framework for the Human Biometric-Sensor Interaction (HBSI) model. This paper proposes six new definitions based around two classifications of presentations, erroneous and correct. The new terms are: defective interaction (DI), concealed interaction (CI), false interaction (FI), failure to detect (FTD), failure to extract (FTX), and successfully acquired samples (SAS). As with all definitions, the new terms require a modification to the general biometric model developed by Mansfield and Wayman [1].

机译：现有的生物识别测试和评估定义不能完全解释生物识别系统中的错误。本文为人类生物识别-传感器交互（HBSI）模型提供了定义框架。本文基于两种表示形式的错误和正确提出了六个新的定义。新术语是：缺陷相互作用（DI），隐藏相互作用（CI），错误相互作用（FI），检测失败（FTD），提取失败（FTX）和成功获取样品（SAS）。与所有定义一样，新术语需要对Mansfield和Wayman [1]开发的通用生物识别模型进行修改。

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来源
《Biometric technology for human identification VII》|2010年|P.76670H.1-76670H.8|共8页
会议地点 Orlando FL(US)
作者
Stephen J. Elliott; Eric P. Kukula;
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作者单位

Biometric Standards, Performance, Assurance (BSPA) Laboratory, Purdue University, 401 N. Grant Street, West Lafayette, IN USA 47907;

rnBiometric Standards, Performance, Assurance (BSPA) Laboratory, Purdue University, 401 N. Grant Street, West Lafayette, IN USA 47907;

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原文格式 PDF
正文语种 eng
中图分类生物工程学（生物技术）;
关键词
testing and evaluation; performance; terminology; failure to acquire; data collection; acquisition; usability; general biometric model;

机译：测试和评估；性能;术语;未能获得；数据采集;收购可用性；通用生物特征模型;

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A Definitional Framework for the Human-Biometric Sensor Interaction Model

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