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    • 1. 发明申请
    • AUTHENTICATION SYSTEM, METHOD FOR AUTHENTICATING AN OBJECT, APPARATUS FOR PRODUCING AN IDENTICATION DEVICE, METHOD FOR PRODUCING AN IDENTIFICATION DEVICE
    • 认证系统,用于认证对象的方法,用于生产标识设备的设备,用于生成标识设备的方法
    • US20130004033A1
    • 2013-01-03
    • US13634781
    • 2010-03-16
    • Carlo Trugenberger
    • Carlo Trugenberger
    • G06K9/78
    • G06K9/00073G06F21/32G06K9/00087G06N3/02G07C9/00087G07C2209/12
    • The present application is concerned with an authentication system for authenticating at least one object. The authentication system comprises: —a capture device (40) for capturing at least one biometric output data record (BD) for the object; —a reading device (50, 60) for reading configuration data (Konf), associated with the object, for an artificial neural network; —a processing device (32) which is designed to produce the artificial neural network and to input the biometric output data record (BD) into the neural network; —a verification device (33) which captures an output from the neural network in order to authenticate the object, wherein the neural network is a bidirectional associative memory, particularly a Hopfield network, having a multiplicity of network states and the verification device (33) is designed to determine the output from the neural network by capturing a final state derived from the input of the biometric output data record (BD). A fundamental concept of the present invention is the use of a neural network to store a key associated with a particular person, wherein said key is released only when appropriate biometric data are input into the neural network.
    • 本申请涉及用于验证至少一个对象的认证系统。 认证系统包括: - 用于捕获用于对象的至少一个生物特征输出数据记录(BD)的捕获设备(40) - 用于读取与所述对象相关联的用于人造神经网络的配置数据(Konf)的读取装置(50,60); - 被设计为产生人造神经网络并将生物测定输出数据记录(BD)输入神经网络的处理设备(32) - 验证装置(33),其捕获来自所述神经网络的输出以便认证所述对象,其中所述神经网络是具有多个网络状态的双向关联存储器,特别是Hopfield网络,并且所述验证装置(33) 旨在通过捕获从生物特征输出数据记录(BD)的输入得到的最终状态来确定来自神经网络的输出。 本发明的基本概念是使用神经网络来存储与特定人相关联的密钥,其中仅当适当的生物特征数据被输入神经网络时才释放所述密钥。
    • 2. 发明授权
    • Apparatus and method for producing an identification device
    • 用于制造识别装置的装置和方法
    • US09268990B2
    • 2016-02-23
    • US13634781
    • 2010-03-16
    • Carlo Trugenberger
    • Carlo Trugenberger
    • G06N3/02G06K9/00G06F21/32G07C9/00
    • G06K9/00073G06F21/32G06K9/00087G06N3/02G07C9/00087G07C2209/12
    • An authentication system authenticates an object. The authentication system includes a capture device for capturing at least one biometric output data record (BD) for the object; a reading device for reading configuration data (Konf), associated with the object, for an artificial neural network; a processing device designed to produce the artificial neural network and to input the BD into the neural network; a verification device which captures an output from the neural network to authenticate the object, wherein the neural network is a bidirectional associative memory, particularly a Hopfield network, having a multiplicity of network states. The verification device is designed to determine the output from the neural network by capturing a final state derived from the input of the BD. The neural network stores a key associated with a particular person. The key is released only when appropriate biometric data are input into the neural network.
    • 认证系统认证对象。 认证系统包括用于捕获用于对象的至少一个生物特征输出数据记录(BD)的捕获装置; 读取装置,用于读取与所述对象相关联的用于人造神经网络的配置数据(Konf); 设计用于产生人造神经网络并将BD输入神经网络的处理装置; 捕获神经网络的输出以验证对象的验证装置,其中所述神经网络是具有多个网络状态的双向关联存储器,特别是Hopfield网络。 验证装置被设计成通过捕获从BD的输入得到的最终状态来确定来自神经网络的输出。 神经网络存储与特定人相关联的密钥。 只有当适当的生物识别数据输入神经网络时,才能释放密钥。
    • 3. 发明申请
    • Speech And Textual Analysis Device And Corresponding Method
    • 语音和文本分析装置及相应方法
    • US20070282598A1
    • 2007-12-06
    • US11659962
    • 2005-08-09
    • Paul WaeltiCarlo TrugenbergerFrank CuypersChristoph Waelti
    • Paul WaeltiCarlo TrugenbergerFrank CuypersChristoph Waelti
    • G06F17/28
    • G06F17/3071G06F17/2785G06F17/2795G06N3/088
    • A speech and textual analysis device and method for forming a search and/or classification catalog. The device is based on a linguistic database and includes a taxonomy table containing variable taxon nodes. The speech and textual analysis device includes a weighting module, a weighting parameter being additionally assigned to each stored taxon node to register recurrence frequency of terms in the linguistic and/or textual data that is to be classified and/or sorted. The speech and/or textual analysis device includes an integration module for determining a predefinable number of agglomerates based on the weighting parameters of the taxon nodes in the taxonomy table and at least one neuronal network module for classifying and/or sorting the speech and/or textual data based on the agglomerates in the taxonomy table.
    • 用于形成搜索和/或分类目录的语音和文本分析装置和方法。 该设备基于语言数据库,并且包括包含可变分类子节点的分类表。 语音和文本分析设备包括加权模块,加权参数被附加地分配给每个存储的分类单元以记录将被分类和/或分类的语言和/或文本数据中的术语的再现频率。 语音和/或文本分析装置包括用于基于分类表中的分类群节点的加权参数和用于对语音进行分类和/或分类的至少一个神经元网络模块来确定聚集体的可预定数量的集成模块,和/或 基于分类表中的聚集的文本数据。