Printer sample feature set
    1.
    发明授权
    Printer sample feature set 有权
    打印机样品特征集

    公开(公告)号:US09147141B2

    公开(公告)日:2015-09-29

    申请号:US14347316

    申请日:2012-01-31

    摘要: A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.

    摘要翻译: 系统可以包括用于存储机器可读指令的存储器和用于访问存储器并执行机器可读指令的处理单元。 机器可读指令可以包括特征集提取器,以从打印样本的多个数字图像中的每一个提取特征集。 该功能集可以是一个过滤的功能集,其中包含一个功能集,表征打印机打印样本的给定打印样本的打印机。 机器可读指令还可以包括基于打印样本的多个扫描图像中的每一个的特征集来确定打印样本的群集的群集组件。 机器可读指令还可以包括打印机标识符,以基于打印样本的聚类来识别打印样本的打印机。

    Selecting metrics for substrate classification
    2.
    发明授权
    Selecting metrics for substrate classification 有权
    选择底物分类的指标

    公开(公告)号:US08917930B2

    公开(公告)日:2014-12-23

    申请号:US13466170

    申请日:2012-05-08

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00577

    摘要: Methods for selecting metrics for substrate classification, and apparatus to perform such methods. The methods include determining a value of a metric from an image of a substrate sample for each substrate sample of a plurality of substrate samples, wherein the metric is indicative of a surface texture of each substrate sample and iteratively assigning substrate samples of the plurality of substrate samples to an aggregate of a particular number of aggregates in response to a value of the metric for each substrate sample until a convergence of clustering is deemed achieved, then determining an indication of cluster tightness of the particular number of aggregates. The methods further include selecting or ignoring the metric for substrate classification in response to the indication of cluster tightness of the particular number of aggregates.

    摘要翻译: 用于选择底物分类的度量的方法以及执行这些方法的装置。 所述方法包括从多个衬底样品的每个衬底样品的衬底样品的图像中确定度量的值,其中度量指示每个衬底样品的表面纹理并迭代地分配多个衬底的衬底样品 响应于每个底物样品的度量的值而将样品聚集到特定数量的聚集体,直到聚类的收敛被认为实现,然后确定特定数目的聚集体的聚类紧密度的指示。 所述方法还包括响应于特定数量的聚集体的簇紧密度的指示来选择或忽略用于底物分类的度量。

    Printer Sample Feature Set
    3.
    发明申请
    Printer Sample Feature Set 有权
    打印机样品特征集

    公开(公告)号:US20140333969A1

    公开(公告)日:2014-11-13

    申请号:US14347316

    申请日:2012-01-31

    IPC分类号: G06K15/02

    摘要: A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.

    摘要翻译: 系统可以包括用于存储机器可读指令的存储器和用于访问存储器并执行机器可读指令的处理单元。 机器可读指令可以包括特征集提取器,以从打印样本的多个数字图像中的每一个提取特征集。 该功能集可以是一个过滤的功能集,其中包含一个功能集,表征打印机打印样本的给定打印样本的打印机。 机器可读指令还可以包括基于打印样本的多个扫描图像中的每一个的特征集来确定打印样本的群集的群集组件。 机器可读指令还可以包括打印机标识符,以基于打印样本的聚类来识别打印样本的打印机。

    Selecting classifier engines
    6.
    发明授权
    Selecting classifier engines 有权
    选择分类机引擎

    公开(公告)号:US09218543B2

    公开(公告)日:2015-12-22

    申请号:US14364749

    申请日:2012-04-30

    IPC分类号: G06K9/80 G06K9/62

    摘要: Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.

    摘要翻译: 用于执行方法的方法和装置,用于选择分类器引擎。 方法包括对于一组已知分类的两个或多个部分,使用特定分类器引擎对每个部分进行分类; 选择其分类满足第一标准的一组项目的一部分; 使用两个或更多个分类引擎对所述一组项目的所选部分的成员进行分类; 以及选择所述一组项目的所选部分的分类满足第二准则的分类器引擎。

    Selecting Classifier Engines
    7.
    发明申请
    Selecting Classifier Engines 有权
    选择分类发动机

    公开(公告)号:US20150071556A1

    公开(公告)日:2015-03-12

    申请号:US14364749

    申请日:2012-04-30

    IPC分类号: G06K9/62

    摘要: Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.

    摘要翻译: 用于执行方法的方法和装置,用于选择分类器引擎。 方法包括对于一组已知分类的两个或多个部分,使用特定分类器引擎对每个部分进行分类; 选择其分类满足第一标准的一组项目的一部分; 使用两个或更多个分类引擎对所述一组项目的所选部分的成员进行分类; 以及选择所述一组项目的所选部分的分类满足第二准则的分类器引擎。

    Decoding a physical image
    9.
    发明授权
    Decoding a physical image 有权
    解码物理图像

    公开(公告)号:US08672226B2

    公开(公告)日:2014-03-18

    申请号:US13258836

    申请日:2009-06-11

    摘要: A method for decoding information from a physical image having a plurality of payload patches includes generating a digital representation of the physical image. A plurality of regions are mapped to the plurality of payload patches in the digital representation. A scramble pattern is identified and the plurality of mapped regions of the digital representation are reordered according to the identified scramble pattern. Information is decoded from the payload patches of the reordered plurality of mapped regions.

    摘要翻译: 用于从具有多个有效载荷补片的物理图像解码信息的方法包括生成物理图像的数字表示。 多个区域被映射到数字表示中的多个有效载荷补片。 识别扰码模式,并且根据所识别的加扰模式重新排序数字表示的多个映射区域。 从重排序的多个映射区域的有效载荷片段解码信息。

    Workflow-Enhancing Device, System and Method
    10.
    发明申请
    Workflow-Enhancing Device, System and Method 有权
    工作流增强设备,系统和方法

    公开(公告)号:US20130290963A1

    公开(公告)日:2013-10-31

    申请号:US13810697

    申请日:2010-12-20

    IPC分类号: G06F9/44

    摘要: Systems and methods for performing task execution in a workflow are described. The system comprises at least one modular device (12, 42, 82, 91, 105, 112, 122, 142, 162, 212, 214, 222, 224, 232, 234, 362, 364, 372, 374, 382) comprising a sensor device (14, 44, 84, 92, 106, 114, 144, 164) that is interchangeably coupled to a processor device (72, 95, 103, 120, 150, 210, 220, 230, 360, 370, 380), a software service (20, 60, 78, 96, 96a, 130, 172, 216, 226, 236, 366, 376, 386) and an electronic workflow system (22, 62, 89, 98, 134, 174, 240, 352), where the sensor may correspond to at least one particular task of a workflow, and the software service may control operation of the modular device and generates metadata from task information received by the sensor of the modular devices for the electronic workflow system.

    摘要翻译: 描述用于在工作流中执行任务执行的系统和方法。 该系统包括至少一个模块化装置(12,42,82,91,105,112,122,142,162,212,214,222,224,232,234,362,364,372,474,382,482,346,346,374,374,384,382,482,384,342,482,346,346,342,384,382,482,342,482,346,442,424,342,314,482,4 传感器装置(14,44,84,92,106,114,144,164),其可互换地耦合到处理器装置(72,95,103,120,150,210,220,230,360,370,380 ),软件服务(20,60,78,96,96a,130,172,216,226,236,336,376,386)和电子工作流系统(22,62,89,98,134,174, 其中所述传感器可以对应于工作流的至少一个特定任务,并且所述软件服务可以控制所述模块化设备的操作并且从所述电子工作流系统的模块化设备的传感器接收的任务信息生成元数据 。