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Biometric systems for access granting. An example: Iris recognition

机译:用于访问授权的生物识别系统。一个例子:虹膜识别

摘要

Biometrics refers to technologies for measuring and analysing human body characteristics in person authenticationudapplications. The computational power available in today’s computer and embedded systems (e.g. mobile phones, ludaptop and personal digital assistant) allows the biometrics market to grow with the aim of replacing PIN codes orudtaped password in control access. Among the different biometric technologies that have emerged in the last decade,udautomatic iris verification systems are recognised as the most reliable. This paper presents firstly a new iris verificationudalgorithm based on the concept of Emergent Frequency Demodulation (EMD). The emergent frequency information isudrelated to the Hilbert transform and it is used to extract discriminative features from iris texture. This is followed by audsoftware implementation of the proposed EMD-based iris images processing on ARM920T core-module whichuddemonstrates the feasibility of embedding the iris technology on future multimedia mobile platform.
机译:生物识别技术是指用于在人认证 ud应用程序中测量和分析人体特征的技术。当今计算机和嵌入式系统(例如,移动电话,l udaptop和个人数字助理)中可用的计算能力使生物识别技术市场得以发展,目的是替换控制访问中的PIN码或 dapted密码。在过去十年中出现的各种生物识别技术中,自动虹膜验证系统被认为是最可靠的。本文首先提出了一种基于紧急频率解调(EMD)概念的虹膜验证算法。出现的频率信息与希尔伯特变换有关,用于从虹膜纹理中提取判别特征。接下来是在ARM920T核心模块上基于提议的基于EMD的虹膜图像处理的软件实现,这证明了将虹膜技术嵌入未来的多媒体移动平台的可行性。

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