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A standoff system for noncooperative ocular biometrics

机译:非合作式眼部生物识别技术的防区位系统

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The iris and more recently vascular patterns seen on the white of the eye have been considered for ocular biometrics. The non-contact nature, uniqueness, and permanence of ocular features makes them promising. Among new challenges are to develop commercial systems for less constrained environments and at extended distances. Such systems need to have minimal burden on the user and be robust for non-cooperative users. We present the design and development of standoff system for noncooperative ocular biometrics using system integration approach. Review of existing commercial and experimental long-range biometric systems is presented. The process of selection of sensors and illumination techniques is described. The development of user interfaces and algorithms for a working prototype is explained. The performance is evaluated with images of 28 subjects, acquired at distances up to 9 meters. The conflicting requirements for the design of this standoff biometric system, and the resulting performance limitations with impact on image quality are discussed.
机译:眼部生物识别技术已考虑在眼白上看到虹膜和最近出现的血管模式。眼部特征的非接触性质,独特性和永久性使其很有前途。在新的挑战中是开发用于较少约束的环境和远距离的商业系统。这样的系统需要给用户带来最小的负担,并且对于非合作用户是健壮的。我们介绍了使用系统集成方法的非合作式眼部生物统计学防区位系统的设计和开发。介绍了现有的商业和实验远程生物识别系统。描述了传感器和照明技术的选择过程。解释了适用于原型的用户界面和算法的开发。使用28个对象的图像(在最远9米的距离处获取)来评估性能。讨论了这种对峙生物识别系统设计的相互矛盾的要求,以及由此产生的性能局限性对图像质量的影响。

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