Multimodal ocular biometric system and methods
    2.
    发明授权
    Multimodal ocular biometric system and methods 有权
    多模式眼睛生物识别系统和方法

    公开(公告)号:US08644562B2

    公开(公告)日:2014-02-04

    申请号:US13459731

    申请日:2012-04-30

    IPC分类号: G06K9/00 G06K9/62 G06K9/68

    摘要: Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part; to evaluate captured images and obtain the best possible images for biometric identification.

    摘要翻译: 生物识别系统捕获和组合来自多种模式的生物特征信息,采用数字处理算法来处理和评估具有生物特征数据的捕获图像。 这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法,用于确定所捕获图像中的虹膜图像的虹膜分割算法,用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法 ,以及用于测量虹膜焦点的算法。 一些实施例部分采用采用这种算法的自动捕获过程; 以评估捕获的图像并获得用于生物特征识别的最佳图像。

    Multimodal ocular biometric system and methods
    4.
    发明申请
    Multimodal ocular biometric system and methods 有权
    多模式眼睛生物识别系统和方法

    公开(公告)号:US20080253622A1

    公开(公告)日:2008-10-16

    申请号:US11898190

    申请日:2007-09-10

    IPC分类号: G06K9/80

    摘要: Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part, to evaluate captured images and obtain the best possible images for biometric identification.

    摘要翻译: 生物识别系统捕获和组合来自多种模式的生物特征信息,采用数字处理算法来处理和评估具有生物特征数据的捕获图像。 这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法,用于确定所捕获图像中的虹膜图像的虹膜分割算法,用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法 ,以及用于测量虹膜焦点的算法。 一些实施例采用自动捕获过程,其采用这样的算法,部分地评估捕获的图像并获得用于生物特征识别的最佳可能图像。

    Multimodal ocular biometric system and methods
    7.
    发明授权
    Multimodal ocular biometric system and methods 有权
    多模式眼睛生物识别系统和方法

    公开(公告)号:US08170293B2

    公开(公告)日:2012-05-01

    申请号:US11898190

    申请日:2007-09-10

    IPC分类号: G06K9/00 G06K9/62

    摘要: Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part, to evaluate captured images and obtain the best possible images for biometric identification.

    摘要翻译: 生物识别系统捕获和组合来自多种模式的生物特征信息,采用数字处理算法来处理和评估具有生物特征数据的捕获图像。 这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法,用于确定所捕获图像中的虹膜图像的虹膜分割算法,用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法 ,以及用于测量虹膜焦点的算法。 一些实施例采用自动捕获过程,其采用这样的算法,部分地评估捕获的图像并获得用于生物特征识别的最佳可能图像。

    MULTIMODAL OCULAR BIOMETRIC SYSTEM AND METHODS
    8.
    发明申请
    MULTIMODAL OCULAR BIOMETRIC SYSTEM AND METHODS 有权
    多模态生物量系统与方法

    公开(公告)号:US20120213418A1

    公开(公告)日:2012-08-23

    申请号:US13459731

    申请日:2012-04-30

    IPC分类号: G06K9/34

    摘要: Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part; to evaluate captured images and obtain the best possible images for biometric identification.

    摘要翻译: 生物识别系统捕获和组合来自多种模式的生物特征信息,采用数字处理算法来处理和评估具有生物特征数据的捕获图像。 这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法,用于确定所捕获图像中的虹膜图像的虹膜分割算法,用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法 ,以及用于测量虹膜焦点的算法。 一些实施例部分采用采用这种算法的自动捕获过程; 以评估捕获的图像并获得用于生物特征识别的最佳图像。

    Multimodal Ocular Biometric System
    9.
    发明申请
    Multimodal Ocular Biometric System 有权
    多模眼睛生物识别系统

    公开(公告)号:US20110285836A1

    公开(公告)日:2011-11-24

    申请号:US13196617

    申请日:2011-08-02

    IPC分类号: H04N7/18

    摘要: A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and/or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.

    摘要翻译: 多模式生物识别系统捕获并处理虹膜和视网膜的图像以进行生物识别。 另一个多模态眼系统捕获并处理虹膜和/或从受试者的双眼的图像。 基于这些系统提供的数据的生物识别技术比使用仅包括虹膜的数据或仅来自单个眼睛的视网膜的生物识别技术更准确和鲁棒。 示例性实施例将光子发射到虹膜和双眼视网膜,虹膜图像传感器,当虹膜反射发射的光时捕获虹膜的图像;视网膜图像传感器,其在视网膜反射时捕获视网膜的图像 以及控制虹膜和视网膜照明源的控制器,其中虹膜的捕获图像和视网膜的捕获图像包含生物特征数据。