公开(公告)号：US20150049949A1

公开(公告)日：2015-02-19

申请号：US14364743

申请日：2012-04-29

Applicant: Steven J Simske ,  Samson J. Liu

Inventor： Steven J Simske ,  Samson J. Liu

IPC: G06K9/18 ,  G06K9/00

CPC classification number: G06K9/18 ,  G06K9/00442 ,  G06K9/03

Abstract: A system and method to error correct extant electronic documents is disclosed. An electronic document may be rasterized to obtain a pixel representation of the electronic document (e.g., raster image). One or more optical character recognition (OCR) tasks may be performed on the raster image of the electronic document. Errors discovered by the OCR tasks may be corrected and a customized error corrected version of the electronic document may be created and stored. If the author of the electronic document is known, the raster image may be compared to a personalized tf*idf error dictionary associated with the author to determine known OCR errors specific to the author. The raster image may also be compared to a personalized electronic error dictionary associated with the author to determine known typographical errors specific to the author.

Abstract translation: 公开了一种错误纠正现有电子文档的系统和方法。 电子文档可以被光栅化以获得电子文档的像素表示（例如，光栅图像）。 可以在电子文档的光栅图像上执行一个或多个光学字符识别（OCR）任务。 可能会纠正由OCR任务发现的错误，并且可以创建和存储电子文档的定制错误更正版本。 如果电子文档的作者是已知的，则光栅图像可以与与作者相关联的个性化tf * idf错误字典进行比较，以确定作者特有的已知OCR错误。 也可以将光栅图像与与作者相关联的个性化电子错误字典进行比较，以确定作者特有的已知印刷错误。

公开(公告)号：US20130290963A1

公开(公告)日：2013-10-31

申请号：US13810697

申请日：2010-12-20

Applicant: Steven J Simske ,  Guy Adams

Inventor： Steven J Simske ,  Guy Adams

IPC: G06F9/44

CPC classification number: G06F9/44 ,  G06Q10/06 ,  G06Q10/08 ,  G06Q10/10 ,  G06Q50/18 ,  G06Q50/22

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 。

公开(公告)号：US08375022B2

公开(公告)日：2013-02-12

申请号：US12938288

申请日：2010-11-02

Applicant: Helen Balinsky ,  Alexander Balinsky ,  Steven J Simske

Inventor： Helen Balinsky ,  Alexander Balinsky ,  Steven J Simske

IPC: G06F7/00

CPC classification number: G06F17/30675

Abstract: Example embodiments relate to keyword determination based on a weight of meaningfulness. In example embodiments, a computing device may determine a number of occurrences of a word in a particular document and may then determine a weight of meaningfulness for the word based on the number of occurrences. The computing device may then add the word to a set of keywords for the document based on the weight of meaningfulness.

Abstract translation: 示例性实施例涉及基于有意义的权重的关键字确定。 在示例实施例中，计算设备可以确定特定文档中的单词的出现次数，然后可以基于出现次数来确定单词的有意义的权重。 然后，计算设备可以基于有意义的权重将单词添加到文档的一组关键字。

公开(公告)号：US08123126B2

公开(公告)日：2012-02-28

申请号：US12374615

申请日：2007-07-20

Applicant: Helen Balinsky ,  James Thomas Edward McDonnell ,  Thomas Rathbone ,  Steven J Simske

Inventor： Helen Balinsky ,  James Thomas Edward McDonnell ,  Thomas Rathbone ,  Steven J Simske

IPC: G06K5/00

CPC classification number: B42D25/405 ,  B42D2033/46 ,  B42D2035/34 ,  B65D2203/10 ,  G06K9/00577 ,  G06K19/07 ,  G06K19/086 ,  G06K19/14 ,  G09F3/0376

Abstract: Anti-counterfeit marking for a product, comprising: a tamper evident marker attached to or integrated with a product or packaging for a product and having a random mark; and an electronic memory element containing data about the random mark, the memory element being attached to or integrated with the product or packaging for the product in a tamper evident manner.

Abstract translation: 一种用于产品的防伪标记，包括：附着于产品的产品或包装的产品或包装上并具有随机标记的防篡改标记; 以及包含关于随机标记的数据的电子存储元件，所述存储元件以防篡改的方式附接到所述产品的产品或包装。

公开(公告)号：US20110261376A1

公开(公告)日：2011-10-27

申请号：US13125269

申请日：2008-10-20

Applicant: Steven J Simske ,  Juan C. Villa

Inventor： Steven J Simske ,  Juan C. Villa

IPC: G06F15/00

CPC classification number: H04N1/32315 ,  G06K19/06103 ,  G06T11/60 ,  H04N1/32288 ,  H04N2201/3205 ,  H04N2201/3215 ,  H04N2201/3233 ,  H04N2201/3236 ,  H04N2201/3239 ,  H04N2201/3271 ,  H04N2201/3278 ,  H04N2201/328 ,  H04N2201/3281 ,  H04N2201/3283

Abstract: A method for enhancing security printing includes determining fields associated with print job variability. Physical security information is entered, and a physical security data stream is generated from the physical security information. The physical security data stream is mapped to a data stream that is used to provide settings for the fields for the print job variability. The fields for the print job variability are set based upon the mapping the physical security data stream.

Abstract translation: 一种用于增强安全打印的方法包括确定与打印作业可变性相关联的字段。 输入物理安全信息，并从物理安全信息生成物理安全数据流。 物理安全数据流被映射到用于提供用于打印作业变异性的字段的设置的数据流。 基于映射物理安全数据流来设置用于打印作业可变性的字段。

公开(公告)号：US07046846B2

公开(公告)日：2006-05-16

申请号：US10654547

申请日：2003-09-02

Applicant: Steven J Simske ,  Virgil K Russon

Inventor： Steven J Simske ,  Virgil K Russon

IPC: G06K9/34

CPC classification number: G06K9/00442

Abstract: Disclosed is a document analysis system and method. The document analysis system includes an interim analyzer configured to perform an interim document analysis to identify a number of interim regions on a digital document at an interim pixels-per-inch (PPI). The document analysis system also includes a complete analyzer configured to perform a complete analysis on at least one of the interim regions at a second PPI, thereby generating at least one complete region therefrom. The document analysis system and method provides significant flexibility to the user with a number of options relative to the analysis of the regions of information of interest in a digital document and to limit analysis to such preferred regions.

Abstract translation: 公开了一种文件分析系统和方法。 文档分析系统包括临时分析器，该临时分析器被配置为执行临时文档分析，以以中间像素英寸（PPI）标识数字文档上的多个中间区域。 文档分析系统还包括完整分析器，其被配置为在第二PPI处对至少一个临时区域执行完整分析，从而从其生成至少一个完整区域。 文档分析系统和方法为用户提供了相对于数字文档中感兴趣的信息区域的分析的许多选项的极大灵活性，并且将分析限制到这些优选区域。

公开(公告)号：US20150220521A1

公开(公告)日：2015-08-06

申请号：US14419793

申请日：2012-08-30

Applicant: Steven J Simske ,  Marie Vans

Inventor： Steven J Simske ,  Marie Vans

IPC: G06F17/30

CPC classification number: G06F17/30011 ,  G06K19/06037 ,  G06K19/06046 ,  G06Q10/0633 ,  G06Q10/103

Abstract: Example embodiments disclosed hereto relate So generating a regressive information object, information is encoded into an information object at states in a workflow. Information, is encoded such that information encoded in a last state in the workflow is readable by an information object reader and information, encoded in states prior to the last state is not readable by fee information object reader.

Abstract translation: 所涉及的示例性实施例因此，生成回归信息对象，信息在工作流中的状态被编码成信息对象。 信息被编码，使得在工作流程中以最后状态编码的信息被信息对象读取器读取，并且在最后状态之前以状态编码的信息不能被费用信息对象读取器读取。

公开(公告)号：US08917930B2

公开(公告)日：2014-12-23

申请号：US13466170

申请日：2012-05-08

Applicant: Steven J Simske ,  Malgorzata M Sturgill ,  Guy Adams ,  Paul S Everest

Inventor： Steven J Simske ,  Malgorzata M Sturgill ,  Guy Adams ,  Paul S Everest

IPC: G06K9/00

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。

公开(公告)号：US20140333969A1

公开(公告)日：2014-11-13

申请号：US14347316

申请日：2012-01-31

Applicant: Steven J Simske ,  Malgorzata M. Sturgill ,  Jason S. Aronoff ,  Guy Adams ,  Paul S. Everest

Inventor： Steven J Simske ,  Malgorzata M. Sturgill ,  Jason S. Aronoff ,  Guy Adams ,  Paul S. Everest

IPC: G06K15/02

CPC classification number: G06K15/1881 ,  H04N1/32144 ,  H04N1/40062 ,  H04N1/405 ,  H04N2201/3271

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。

公开(公告)号：US20140231510A1

公开(公告)日：2014-08-21

申请号：US14235864

申请日：2011-09-08

Applicant: Steven J Simske ,  A. Marie Vans

Inventor： Steven J Simske ,  A. Marie Vans

IPC: G06Q30/02

CPC classification number: G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0207 ,  G06Q30/0226

Abstract: A method for tracking customer loyalty information using an incremental information object (IIO) includes capturing an information object (IO), wherein the IO include a number of tiles, and wherein the number of tiles include a standard code. The method also includes analyzing the IO to identify the standard code and analyzing the IO to determine if the IO is an IIO containing a progressive code, wherein the progressive code does not interfere with the reading of the standard. The method further include confirming the progressive code and, if the progressive code is successfully confirmed, obtaining customer loyalty data from the progressive code within the IIO.

Abstract translation: 使用增量信息对象（IIO）跟踪客户忠诚度信息的方法包括捕获信息对象（IO），其中IO包括多个瓦片，并且其中瓦片的数量包括标准代码。 该方法还包括分析IO以识别标准代码并分析IO以确定IO是否是包含逐行代码的IIO，其中逐行代码不干扰标准的读取。 该方法还包括确认渐进代码，并且如果顺序代码被成功确认，则从IIO内的逐行代码获得顾客忠诚度数据。