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1. 发明申请

US20170032184A1 QUALITY METRICS FOR BIOMETRIC AUTHENTICATION 审中-公开
标题翻译：用于生物识别的质量标准
公开(公告)号：US20170032184A1
公开(公告)日：2017-02-02
申请号：US15142774
申请日：2016-04-29
申请人： EyeVerify LLC
发明人： Reza R. Derakhshani , Vikas Gottemukkula
IPC分类号： G06K9/00 , G06K9/62 , G06K9/46
CPC分类号： G06K9/00617 , G06K9/00597 , G06K9/00604 , G06K9/0061 , G06K9/036 , G06K9/4652 , G06K9/623 , G06K2009/00932 , G06T7/0002 , G06T2207/20041 , G06T2207/20112 , G06T2207/30168
摘要： 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.
摘要翻译：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。

2. 发明申请

US20160086030A1 FEATURE EXTRACTION AND MATCHING FOR BIOMETRIC AUTHENTICATION 有权
公开(公告)号：US20160086030A1
公开(公告)日：2016-03-24
申请号：US14933539
申请日：2015-11-05
申请人： EyeVerify, LLC
发明人： Vikas Gottemukkula , Reza R. Derakhshani , Sashi K. Saripalle
IPC分类号： G06K9/00 , G06T11/60 , G06T3/00 , G06K9/62
CPC分类号： G06K9/0061 , G06K9/00597 , G06K9/00604 , G06K9/00617 , G06K9/00885 , G06K9/00926 , G06K9/6201 , G06K9/6212 , G06K9/6215 , G06K2009/00932 , G06K2009/4666 , G06T3/00 , G06T11/60
摘要： In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

3. 发明授权

US10095927B2 Quality metrics for biometric authentication 有权
公开(公告)号：US10095927B2
公开(公告)日：2018-10-09
申请号：US15142774
申请日：2016-04-29
申请人： EyeVerify LLC
发明人： Reza R. Derakhshani , Vikas Gottemukkula
IPC分类号： G06K9/00 , G06K9/03 , G06T7/00 , G06K9/46 , G06K9/62
摘要： 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.

4. 发明授权

US09971920B2 Spoof detection for biometric authentication 有权
公开(公告)号：US09971920B2
公开(公告)日：2018-05-15
申请号：US14790863
申请日：2015-07-02
申请人： EyeVerify, LLC
发明人： Reza R. Derakhshani , Casey Hughlett , Jeremy Paben , Joel Teply , Toby Rush
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K9/00597 , G06K9/00899 , G06K9/00906
摘要： 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.

5. 发明授权

US09454700B2 Feature extraction and matching for biometric authentication 有权
标题翻译：特征提取和匹配生物识别
公开(公告)号：US09454700B2
公开(公告)日：2016-09-27
申请号：US14933539
申请日：2015-11-05
申请人： EyeVerify, LLC
发明人： Vikas Gottemukkula , Reza R. Derakhshani , Sashi K. Saripalle
IPC分类号： G06K9/62 , G06K9/00 , G06T3/00 , G06T11/60 , G06K9/46
CPC分类号： G06K9/0061 , G06K9/00597 , G06K9/00604 , G06K9/00617 , G06K9/00885 , G06K9/00926 , G06K9/6201 , G06K9/6212 , G06K9/6215 , G06K2009/00932 , G06K2009/4666 , G06T3/00 , G06T11/60
摘要： In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.
摘要翻译：在特征提取和模式匹配系统中，图像锐化可以使血管点检测（VPD）用于从眼睛的可见脉管系统中检测兴趣点。扩展的多半径中心对称局部二进制模式的扩展多半径局部二进制模式和/或模式直方图的图形直方图可以提供关于感兴趣点周围的图像的部分的描述，并且可以使用通过检测的点生成注册和验证模板 VPD和相应的描述符。可以从注册和验证模板中选择入点点对，并且可以基于非线性点对的数量和由所述异常检测选择的变换的一个或多个参数来计算指示两个模板的相似性的第一匹配分数。可以通过应用所选择的变换来计算第二匹配得分，并且可以使用任一或两个分数来认证用户。

6. 发明申请

US20160132735A1 SPOOF DETECTION FOR BIOMETRIC AUTHENTICATION 有权
公开(公告)号：US20160132735A1
公开(公告)日：2016-05-12
申请号：US14790863
申请日：2015-07-02
申请人： EyeVerify, LLC
发明人： Reza R. Derakhshani , Casey Hughlett , Jeremy Paben , Joel Teply , Toby Rush
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K9/00597 , G06K9/00899 , G06K9/00906
摘要： 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

7. 发明申请

US20160259960A1 TEXTURE FEATURES FOR BIOMETRIC AUTHENTICATION 审中-公开
标题翻译：纹理特征用于生物识别
公开(公告)号：US20160259960A1
公开(公告)日：2016-09-08
申请号：US15056270
申请日：2016-02-29
申请人： EyeVerify, LLC
发明人： Reza R. Derakhshani , Vikas Gottemukkula , Casey Hughlett
IPC分类号： G06K9/00
CPC分类号： G06K9/0061 , G06K9/00597 , G06K9/6215 , G06K2009/00932 , G06T7/0014
摘要： 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.
摘要翻译：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。

8. 发明授权

US10108858B2 Texture features for biometric authentication 有权
公开(公告)号：US10108858B2
公开(公告)日：2018-10-23
申请号：US15056270
申请日：2016-02-29
申请人： EyeVerify, LLC
发明人： Reza R. Derakhshani , Vikas Gottemukkula , Casey Hughlett
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62
摘要： This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect 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.

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