8-基于配价模糊逻辑的虹膜识别和生物特征识别
8-Valent Fuzzy Logic for Iris Recognition and Biometry
摘要:
本文表明,保持逻辑一致性的虹膜识别系统是一个问题,找到一个合适的分区的输入空间在可登记和不可登记的对通过协商用户的舒适性和安全性的生物识别系统。换句话说,为了保持系统的一致性,一致的登记是强制性的。提出了一种模糊三值消歧虹膜识别模型,并从完整性、一致性、用户舒适度和生物特征安全性等方面进行了分析。这里还示出了虹膜识别的模糊3值模型由模8整数的8值布尔代数承载,该布尔代数表示生物特征系统(软件代理)可以以逻辑上一致的方式实现对虹膜识别的人工理解的计算形式化。
英文摘要:
This paper shows that maintaining logical consistency of an iris recognition system is a matter of finding a suitable partitioning of the input space in enrollable and unenrollable pairs by negotiating the user comfort and the safety of the biometric system. In other words, consistent enrollment is mandatory in order to preserve system consistency. A fuzzy 3-valued disambiguated model of iris recognition is proposed and analyzed in terms of completeness, consistency, user comfort and biometric safety. It is also shown here that the fuzzy 3-valued model of iris recognition is hosted by an 8-valued Boolean algebra of modulo 8 integers that represents the computational formalization in which a biometric system (a software agent) can achieve the artificial understanding of iris recognition in a logically consistent manner.
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