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    • 1. 发明授权
    • Automated, non-invasive iris recognition system and method
    • 自动,非侵入式虹膜识别系统和方法
    • US5572596A
    • 1996-11-05
    • US300678
    • 1994-09-02
    • Richard P. WildesJane C. AsmuthKeith J. HannaStephen C. HsuRaymond J. KolczynskiJames R. MateySterling E. McBride
    • Richard P. WildesJane C. AsmuthKeith J. HannaStephen C. HsuRaymond J. KolczynskiJames R. MateySterling E. McBride
    • G06T7/00A61B5/117G06K9/00G06K9/32G06T1/00G07C9/00
    • G06K9/00G06K9/00597G07C9/00158G06K9/3216
    • Iris recognition is achieved by (1) iris acquisition that permits a user to self-position his or her eye into an imager's field of view without the need for any physical contact, (2) spatially locating the data defining that portion of a digitized video image of the user's eye that defines solely the iris thereof without any initial spatial condition of the iris being provided, and (3) pattern matching the spatially located data defining the iris of the user's eye with stored data defining a model iris by employing normalized spatial correlation for first comparing, at each of a plurality of spatial scales, each of distinctive spatial characteristics of the respective irises that are spatially registered with one another to quantitatively determine, at each of the plurality of spatial scales, a goodness value of match at that spatial scale, and then judging whether or not the pattern which manifests solely the iris of the user's eye matches the digital data which manifests solely the model iris in accordance with a certain combination of the quantitatively-determined goodness values of match at each of said plurality of spatial scales.
    • 虹膜识别通过以下方式实现:(1)虹膜获取,其允许用户将他或她的眼睛自我定位成成像仪的视场,而不需要任何物理接触,(2)空间定位定义该数字化视频的那部分的数据 用户眼睛的图像,其仅定义虹膜,而没有提供虹膜的任何初始空间条件;以及(3)通过使用归一化空间来定义用户眼睛的虹膜的空间定位数据与定义模型虹膜的存储数据的模式匹配 相关性,用于在多个空间尺度中的每一个在空间上彼此登记的各个虹膜的每个区域上进行比较,以在所述多个空间尺度中的每一个定量确定在该空间尺度上的匹配的良好值 空间尺度,然后判断仅仅显示用户眼睛的虹膜的图案是否与纯粹显示的数字数据匹配 根据在所述多个空间尺度中的每一个处的匹配的定量确定的良好值的一定组合来确定虹膜虹膜。
    • 8. 发明申请
    • Method of Reducing Visibility of Pulsed Illumination While Acquiring High Quality Imagery
    • 在获取高质量图像的同时降低脉冲照明的可见性的方法
    • US20120187838A1
    • 2012-07-26
    • US13055943
    • 2011-01-26
    • Keith J. Hanna
    • Keith J. Hanna
    • H01K7/00
    • G06K9/00255G06K9/00604G06K9/2018G06K9/2027
    • A method of providing active illumination during biometry that utilizes pulsed lighting synchronized to frame acquisition. Two distinct illumination modalities are provided: the first maximizes the quality of images captured by the imaging system, and the second minimizes the overall illumination perceived by the user in combination with the first. The two modalities are provided substantially simultaneously. The first modality always includes a set of pulses synchronized with frame acquisition. The second modality may be either a second set of pulses not synchronized with frame acquisition or constant background illumination. The two modalities may be generated by two separate sources of illumination or by the same single illumination source. Adding the second modality to the first reduces user discomfort and the chances of an epileptic response as compared to using the first modality alone. The two modalities may have different wavelengths, pulse durations, or intensities.
    • 一种在生物测量期间提供有源照明的方法,其利用与帧采集同步的脉冲照明。 提供了两种不同的照明模式:第一最大化由成像系统拍摄的图像的质量,第二最小化用户结合第一图像感觉到的整体照明。 这两种方式基本同时提供。 第一种模式总是包含与帧采集同步的一组脉冲。 第二模式可以是与帧获取或恒定背景照明不同步的第二组脉冲。 两种模式可以由两个独立的照明源或相同的单一照明源产生。 与第一种模式相比,将第二种模式添加到第一种模式可减少用户不适和癫痫反应的可能性。 这两种方式可能具有不同的波长,脉冲持续时间或强度。