Biometric based user authentication and data encryption
    3.
    发明授权
    Biometric based user authentication and data encryption 有权
    基于生物特征的用户认证和数据加密

    公开(公告)号:US07779268B2

    公开(公告)日:2010-08-17

    申请号:US11564638

    申请日:2006-11-29

    IPC分类号: G06F7/00 G06F7/04 G06F21/00

    摘要: Biometric parameters acquired from human forces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data.

    摘要翻译: 从人力,语音,指纹和鸢尾获得的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数变化到下一个读数,所以应用校正子码来确定生物特征综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。

    Pre-processing Biometric Parameters before Encoding and Decoding
    4.
    发明申请
    Pre-processing Biometric Parameters before Encoding and Decoding 有权
    在编码和解码之前预处理生物特征参数

    公开(公告)号:US20080235515A1

    公开(公告)日:2008-09-25

    申请号:US11928687

    申请日:2007-10-30

    IPC分类号: H04K1/00 H04L9/00

    摘要: Biometric parameters acquired from human faces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely, while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data. The biometric parameters can be pre-processed to form a binary representation, in which the binary representation has a set of predetermined statistical properties enforced imposed by a set of binary logical conditions.

    摘要翻译: 从人脸,语音,指纹和虹膜获取的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数到下一个读数不同,所以应用校正子码来确定生物统计学综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。 生物特征参数可以被预处理以形成二进制表示,其中二进制表示具有由一组二进制逻辑条件强加的一组预定的统计特性。

    Pre-processing biometric parameters before encoding and decoding
    5.
    发明授权
    Pre-processing biometric parameters before encoding and decoding 有权
    在编码和解码之前预处理生物特征参数

    公开(公告)号:US08375218B2

    公开(公告)日:2013-02-12

    申请号:US11928687

    申请日:2007-10-30

    IPC分类号: G06F21/00

    摘要: Biometric parameters acquired from human faces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely, while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data. The biometric parameters can be pre-processed to form a binary representation, in which the binary representation has a set of predetermined statistical properties enforced imposed by a set of binary logical conditions.

    摘要翻译: 从人脸,语音,指纹和虹膜获取的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数到下一个读数不同,所以应用校正子码来确定生物统计学综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。 生物特征参数可以被预处理以形成二进制表示,其中二进制表示具有由一组二进制逻辑条件强加的一组预定的统计特性。

    Method for constructing large-girth quasi-cyclic low-density parity-check codes
    8.
    发明申请
    Method for constructing large-girth quasi-cyclic low-density parity-check codes 有权
    构建大环准循环低密度奇偶校验码的方法

    公开(公告)号:US20100058139A1

    公开(公告)日:2010-03-04

    申请号:US12199512

    申请日:2008-08-27

    IPC分类号: H03M13/11 G06F11/10

    CPC分类号: H03M13/116 H03M13/033

    摘要: A method constructs a code, wherein the code is a large-girth quasi-cyclic low-density parity-check code. A base matrix is selected for the code. A cost matrix corresponding to the base matrix is determined. A single element in the base is changed repeatedly maximize a reduction in cost. A parity check matrix is constructing for the code from the base matrix when the cost is zero, and an information block is encoded as a code word using the parity check matrix in an encoder.

    摘要翻译: 一种方法构建代码,其中代码是大环准循环低密度奇偶校验码。 为代码选择基本矩阵。 确定与基本矩阵相对应的成本矩阵。 基地中的单个元素反复更改最大化成本降低。 当成本为零时,从基本矩阵构建奇偶校验矩阵,并且使用编码器中的奇偶校验矩阵将信息块编码为码字。

    Generalized belief propagation for probabilistic systems
    9.
    发明授权
    Generalized belief propagation for probabilistic systems 有权
    概率系统的广义信念传播

    公开(公告)号:US06910000B1

    公开(公告)日:2005-06-21

    申请号:US09586282

    申请日:2000-06-02

    IPC分类号: G06F19/00 G06F17/10 G06F17/18

    CPC分类号: G06F17/10

    摘要: A method determines approximate probabilities of states of a system represented by a model. The model includes nodes connected by links. Each node represents possible states of a corresponding part of the system, and each link represents statistical dependencies between possible states of related nodes. The nodes are grouped into arbitrary sized clusters such that every node is included in at least one cluster and each link is completely contained in at least one cluster. Messages, based on the arbitrary sized cluster, are defined. Each message has associated sets of source nodes and destination nodes, and a value and a rule depending on other messages and on selected links connecting the source nodes and destination nodes. The value of each message is updated until a termination condition is reached. When the termination condition is reached, approximate probabilities of the states of the system are determined from the values of the messages.

    摘要翻译: 一种方法确定由模型表示的系统的状态的近似概率。 该模型包括通过链接连接的节点。 每个节点表示系统的对应部分的可能状态,并且每个链路表示相关节点的可能状态之间的统计依赖性。 节点被分组成任意大小的集群,使得每个节点被包括在至少一个集群中,并且每个链路完全包含在至少一个集群中。 定义了基于任意大小的集群的消息。 每个消息具有关联的源节点和目的节点集合,以及取决于其他消息的值和规则,以及连接源节点和目的节点的选定链路。 每个消息的值被更新,直到达到终止条件。 当达到终止条件时,根据消息的值确定系统的状态的近似概率。