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IRIS RECOGNITION METHODS AND SYSTEMS BASED ON AN IRIS STOCHASTIC TEXTURE MODEL

机译:基于虹膜随机纹理模型的虹膜识别方法和系统

摘要

The present disclosure describes systems and methods of using iris data for authentication.A biometric encoder may translate an image of the iris into a rectangular representation of the iris. The rectangular representation may include a plurality of rows corresponding to a plurality of annular portions of the iris. The biometric encoder may extract an intensity profile from at least one of the plurality of rows, the intensity profile modeled as a stochastic process. The biometric encoder may obtain a stationary stochastic component of the intensity profile by removing a non-stationary stochastic component from the intensity profile. The biometric encoder may remove at least a noise component from the stationary component using auto-regressive based modeling, to produce at least a non-linear background signal, and may combine the non-stationary component and the at least the non-linear background signal, to produce a biometric template for authenticating the person.
机译:本公开描述了使用虹膜数据进行认证的系统和方法。生物特征编码器可以将虹膜的图像转换成虹膜的矩形表示。矩形表示可以包括与虹膜的多个环形部分相对应的多行。生物统计编码器可以从多个行中的至少一行中提取强度分布图,该强度分布图被建模为随机过程。生物统计编码器可通过从强度分布图去除非平稳随机分量来获得强度分布图的静态随机分量。生物统计编码器可以使用基于自回归的建模从静止分量中去除至少噪声分量,以产生至少非线性背景信号,并且可以组合非平稳分量和至少非线性背景信号。 ,以生成用于验证人员身份的生物识别模板。

著录项

  • 公开/公告号WO2017201147A2

    专利类型

  • 公开/公告日2017-11-23

    原文格式PDF

  • 申请/专利权人 EYELOCK LLC;

    申请/专利号WO2017US33067

  • 发明设计人 TEVEROVSKIY MIKHAIL;

    申请日2017-05-17

  • 分类号G06F21/32;

  • 国家 WO

  • 入库时间 2022-08-21 12:47:04

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