Decoding a physical image
    1.
    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

    CPC classification number: G06K19/06037 G06K7/10722 G06K7/1404

    Abstract: 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.

    Abstract translation: 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。

    Printer sample feature set
    2.
    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

    Abstract: 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.

    Abstract translation: 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。

    Workflow-Enhancing Device, System and Method
    3.
    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

    Abstract: 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.

    Abstract translation: 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 。

    Selecting metrics for substrate classification
    4.
    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

    CPC classification number: G06K9/00577

    Abstract: 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.

    Abstract translation: 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
    5.
    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

    Abstract: 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.

    Abstract translation: 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。

    Personalized color reproduction
    9.
    发明授权
    Personalized color reproduction 有权
    个性化色彩再现

    公开(公告)号:US07796296B2

    公开(公告)日:2010-09-14

    申请号:US11706275

    申请日:2007-02-15

    CPC classification number: H04N1/6011

    Abstract: A method is provided of personalizing color reproduction of an output device by determining a user-specific color mapping. A user is enabled to individually select different color reproductions of a plurality of different test images according to the user's preferences, wherein the different color reproductions are associated with different color mappings. The test images are reproduced by the output device or a display device simulating the output device. The user-specific color mapping is determined by combining the color mappings of the selected color reproductions.

    Abstract translation: 提供了一种通过确定用户特定的颜色映射来个性化输出设备的颜色再现的方法。 使用者能够根据用户的偏好单独地选择多个不同的测试图像的不同的颜色再现,其中不同的颜色再现与不同的颜色映射相关联。 测试图像由输出设备或模拟输出设备的显示设备再现。 通过组合所选择的颜色再现的颜色映射来确定用户特定的颜色映射。

    Segmenting a document into regions associated with a data type, and assigning pipelines to process such regions
    10.
    发明授权
    Segmenting a document into regions associated with a data type, and assigning pipelines to process such regions 失效
    将文档分段到与数据类型相关联的区域,以及分配管道以处理这些区域

    公开(公告)号:US06880122B1

    公开(公告)日:2005-04-12

    申请号:US09311254

    申请日:1999-05-13

    CPC classification number: G06K9/2054 G06K2209/01

    Abstract: Disclosed is a selective document processing system and method. The selective document processing system includes a digital document analyzer configured to determine a number of regions on a digital document and a data type for each of the regions, the data type for each region being one of a number of predefined data types. The system also includes a first user interface to display the analyzed digital document and to allow the user to perform various functions relative to the displayed digital document including selecting desired regions, deleting regions, etc. The system also includes a selection interface activated from the first user interface for identifying at least one of the predefined data types that are displayed on the first user interface and that are further processed in predetermined processing pipelines.

    Abstract translation: 公开了一种选择性文件处理系统和方法。 选择性文档处理系统包括:数字文档分析器,被配置为确定数字文档上的多个区域以及每个区域的数据类型,每个区域的数据类型是多个预定义数据类型之一。 该系统还包括用于显示分析的数字文档并允许用户相对于所显示的数字文档执行各种功能的第一用户界面,包括选择所需区域,删除区域等。该系统还包括从第一 用户界面,用于识别显示在第一用户界面上并且在预定处理流水线中进一步处理的预定数据类型中的至少一个。

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