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    • 4. 发明申请
    • Multimodal Authorization Method, System And Device
    • 多模式授权方法,系统和设备
    • US20060260988A1
    • 2006-11-23
    • US11420686
    • 2006-05-26
    • John SchneiderFred KieferLeonard PrattJames Baker
    • John SchneiderFred KieferLeonard PrattJames Baker
    • B07C5/00
    • G06K9/6277G06K9/00885G06Q20/3674
    • The invention includes methods, systems and devices for authenticating transactions. A method may begin by enrolling at least two biometric specimens to a database. A false acceptance ratio (“FAR”) is determined for each of the specimens, and authorization options are identified. A cost value is calculated for at least one of the options to provide a calculated cost value (“CCV”). The CCV may be a function of the FAR(s) of the specimen(s) corresponding to the option. An acceptable cost value range (“ACV range”) may be identified, and compared to the CCV. If it is determined that the CCV is in the ACV range, then the option is selected. If the CCV is in the ACV range, then a set of biometric samples is provided (the “sample set”). The sample set is compared to the biometric specimens, and it is determined whether the biometric samples match the biometric specimens. If the biometric samples match the biometric specimens, then the transaction is authorized.
    • 本发明包括用于认证交易的方法,系统和设备。 一种方法可以从数据库登记至少两个生物特征标本开始。 确定每个标本的错误接受率(“FAR”),并确定授权选项。 对于提供计算成本值(“CCV”)的至少一个选项计算成本值。 CCV可以是对应于选项的样本的FAR的函数。 可以识别可接受的成本值范围(“ACV范围”),并与CCV进行比较。 如果确定CCV处于ACV范围内,则选择该选项。 如果CCV处于ACV范围内,则提供一组生物特征样本(“样本集”)。 将样本集与生物特征标本进行比较,确定生物特征样本是否与生物特征标本匹配。 如果生物特征样本与生物特征标本匹配,则交易被授权。
    • 6. 发明申请
    • Multimodal Fusion Decision Logic System Using Copula Model
    • 使用Copula模型的多模式融合决策逻辑系统
    • US20080104006A1
    • 2008-05-01
    • US11876521
    • 2007-10-22
    • Fred Kiefer
    • Fred Kiefer
    • G06N5/02
    • G06N99/005
    • The present invention includes a method of deciding whether a data set is acceptable for making a decision. A first probability partition array and a second probability partition array may be provided. One or both of the probability partition arrays may be a Copula model. A no-match zone may be established and used to calculate a false-acceptance-rate (“FAR”) and/or a false-rejection-rate (“FRR”) for the data set. The FAR and/or the FAR may be compared to desired rates. Based on the comparison, the data set may be either accepted or rejected. The invention may also be embodied as a computer readable memory device for executing the methods.
    • 本发明包括一种决定数据集是否可接受以作出决定的方法。 可以提供第一概率分区阵列和第二概率分区阵列。 一个或两个概率分区阵列可以是Copula模型。 可以建立不匹配区域并用于计算数据集的错误接受率(“FAR”)和/或伪拒绝率(“FRR”)。 FAR和/或FAR可以与期望的比率进行比较。 基于比较,数据集可以被接受或拒绝。 本发明还可以被实现为用于执行方法的计算机可读存储器件。