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生物特征虹膜识别系统准确性与可靠性的实地研究。

A field study of the accuracy and reliability of a biometric iris recognition system.

作者信息

Latman Neal S, Herb Emily

机构信息

West Texas A&M University, Canyon, TX 79015, USA.

出版信息

Sci Justice. 2013 Jun;53(2):98-102. doi: 10.1016/j.scijus.2012.03.008. Epub 2012 Apr 5.

Abstract

PURPOSE

The iris of the eye appears to satisfy the criteria for a good anatomical characteristic for use in a biometric system. The purpose of this study was to evaluate a biometric iris recognition system: Mobile-Eyes™.

METHODS

The enrollment, verification, and identification applications were evaluated in a field study for accuracy and reliability using both irises of 277 subjects. Independent variables included a wide range of subject demographics, ambient light, and ambient temperature. A sub-set of 35 subjects had alcohol-induced nystagmus. There were 2710 identification and verification attempts, which resulted in 1,501,340 and 5540 iris comparisons respectively.

RESULTS

In this study, the system successfully enrolled all subjects on the first attempt. All 277 subjects were successfully verified and identified on the first day of enrollment. None of the current or prior eye conditions prevented enrollment, verification, or identification. All 35 subjects with alcohol-induced nystagmus were successfully verified and identified. There were no false verifications or false identifications. Two conditions were identified that potentially could circumvent the use of iris recognitions systems in general.

CONCLUSIONS

The Mobile-Eyes™ iris recognition system exhibited accurate and reliable enrollment, verification, and identification applications in this study. It may have special applications in subjects with nystagmus.

摘要

目的

眼睛虹膜似乎满足生物识别系统中良好解剖学特征的标准。本研究的目的是评估一种生物识别虹膜识别系统:Mobile-Eyes™。

方法

在一项现场研究中,使用277名受试者的双眼对登记、验证和识别应用进行准确性和可靠性评估。自变量包括广泛的受试者人口统计学特征、环境光和环境温度。35名受试者的子集患有酒精性眼球震颤。进行了2710次识别和验证尝试,分别产生了1,501,340次和5540次虹膜比较。

结果

在本研究中,该系统首次尝试就成功登记了所有受试者。所有277名受试者在登记的第一天就成功得到验证和识别。当前或既往的眼部状况均未妨碍登记、验证或识别。所有35名患有酒精性眼球震颤的受试者均成功得到验证和识别。没有错误验证或错误识别。确定了两种可能普遍规避虹膜识别系统使用的情况。

结论

在本研究中,Mobile-Eyes™虹膜识别系统展示了准确可靠的登记、验证和识别应用。它可能在患有眼球震颤的受试者中有特殊应用。

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