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    • 1. 发明授权
    • Texture features for biometric authentication
    • 纹理特征用于生物识别
    • US09311535B2
    • 2016-04-12
    • US14292628
    • 2014-05-30
    • EyeVerify LLC
    • Reza DerakhshaniVikas GottemukkulaCasey Hughlett
    • G06K9/00
    • G06K9/0061G06K9/00597G06K9/6215G06K2009/00932G06T7/0014
    • One aspect comprises obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The aspect may further comprise applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.
    • 一个方面包括从眼睛的第一图像获得一个或多个图像区域。 每个图像区域可以包括眼睛的白色的相应部分的视图。 该方面还可以包括对每个图像区域应用若干不同的滤波器以产生用于该区域的多个相应的描述符。 几个不同的滤波器可以包括卷积滤波器,其被配置为描述眼睛脉管系统的一个或多个方面,并且组合地描述特征空间中的可见眼脉管系统。 可以基于所生成的描述符并且基于与眼睛脉管系统的第二图像相关联的一个或多个描述符来确定匹配分数。
    • 2. 发明授权
    • Spoof detection for biometric authentication
    • 针对生物特征认证的欺骗检测
    • US08675925B2
    • 2014-03-18
    • US14059034
    • 2013-10-21
    • EyeVerify LLC
    • Reza DerakhshaniCasey HughlettJeremy PabenJoel TeplyToby Rush
    • G06K9/00
    • G06K9/00G06K9/00597G06K9/00899G06K9/00906
    • This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score.
    • 本说明书描述了基于眼睛图像的生物特征鉴定技术。 通常,本说明书中描述的主题的一个方面可以体现在包括获得包括眼睛视图的对象的图像的方法中。 所述方法还可以包括:当眼睛出现在多个图像中时,基于检测到的眼睛的移动来确定行为度量,基于从传感器到出现在多个图像中的地标的距离来确定空间度量 具有不同的相应焦点距离,以及基于检测到的眼睛表面上的表面眩光或镜面反射图案的变化来确定反射度量度。 该方法还可以包括基于行为,空间和反射度量来确定得分,并且基于分数拒绝或接受一个或多个图像。
    • 5. 发明申请
    • TEXTURE FEATURES FOR BIOMETRIC AUTHENTICATION
    • 纹理特征用于生物识别
    • US20140270405A1
    • 2014-09-18
    • US14292628
    • 2014-05-30
    • EyeVerify LLC
    • Reza DERAKHSHANIVikas GottemukkulaCasey Hughlett
    • G06K9/00
    • G06K9/0061G06K9/00597G06K9/6215G06K2009/00932G06T7/0014
    • In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.
    • 通常,本说明书中描述的主题的一个方面可以体现在包括从眼睛的第一图像获得一个或多个图像区域的方法中。 每个图像区域可以包括眼睛的白色的相应部分的视图。 该方法还可以包括对每个图像区域应用若干不同的滤波器以产生该区域的多个相应的描述符。 几个不同的滤波器可以包括卷积滤波器,其被配置为描述眼睛脉管系统的一个或多个方面,并且组合地描述特征空间中的可见眼脉管系统。 可以基于所生成的描述符并且基于与眼睛脉管系统的第二图像相关联的一个或多个描述符来确定匹配分数。
    • 6. 发明申请
    • SPOOF DETECTION FOR BIOMETRIC AUTHENTICATION
    • SPOOF检测用于生物识别
    • US20140198959A1
    • 2014-07-17
    • US14216964
    • 2014-03-17
    • EyeVerify LLC
    • Reza DERAKHSHANICasey HUGHLETTJeremy PABENJoel TEPLYToby RUSH
    • G06K9/00
    • G06K9/00G06K9/00597G06K9/00899G06K9/00906
    • This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining images of a subject including a view of an eye. The methods may further include determining a behavioral metric based on detected movement of the eye as the eye appears in a plurality of the images, determining a spatial metric based on a distance from a sensor to a landmark that appears in a plurality of the images each having a different respective focus distance, and determining a reflectance metric based on detected changes in surface glare or specular reflection patterns on a surface of the eye. The methods may further include determining a score based on the behavioral, spatial, and reflectance metrics and rejecting or accepting the one or more images based on the score
    • 本说明书描述了基于眼睛图像的生物特征鉴定技术。 通常,本说明书中描述的主题的一个方面可以体现在包括获得包括眼睛视图的对象的图像的方法中。 所述方法还可以包括:当眼睛出现在多个图像中时,基于检测到的眼睛的移动来确定行为度量,基于从传感器到出现在多个图像中的地标的距离来确定空间度量 具有不同的相应焦点距离,以及基于检测到的眼睛表面上的表面眩光或镜面反射图案的变化来确定反射度量度。 所述方法还可以包括基于行为,空间和反射度量来确定得分,并基于得分拒绝或接受一个或多个图像
    • 7. 发明授权
    • Quality metrics for biometric authentication
    • 生物特征认证的质量指标
    • US08724857B2
    • 2014-05-13
    • US13912032
    • 2013-06-06
    • EyeVerify LLC
    • Reza DerakhshaniVikas Gottemukkula
    • G06K9/00
    • G06K9/00617G06K9/00597G06K9/00604G06K9/0061G06K9/036G06K9/4652G06K9/623G06K2009/00932G06T7/0002G06T2207/20041G06T2207/20112G06T2207/30168
    • This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining a first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.
    • 本说明书描述了基于眼睛图像的生物特征鉴定技术。 通常,本说明书中描述的主题的一个方面可以体现在包括获得包括眼睛白色的视图的眼睛的第一图像的方法中。 该方法还可以包括确定第一图像的度量,包括用于反映第一图像中表示眼睛脉管系统的形态的一个或多个连接结构的程度的第一度量,以及用于比较检测到的眼睛脉管系统的程度的第二度量 第一幅图像中的不同颜色成分。 可以基于第一图像的度量来确定质量得分。 第一个图像可能会根据质量得分被拒绝或接受。