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11. 发明申请

US20080008377A1 Postal indicia categorization system 审中-公开
标题翻译：邮戳分类系统
公开(公告)号：US20080008377A1
公开(公告)日：2008-01-10
申请号：US11482418
申请日：2006-07-07
申请人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
发明人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
IPC分类号： G06K9/00 , G06K9/46 , G06K9/64 , G06K9/66
CPC分类号： G06K9/2063 , G06K9/4642
摘要： A system is presented for recognizing and identifying postal indicia on an envelope. The system includes an image acquisition element that acquires a first image, representing a first side of the envelope, and a second image, representing a second side of the envelope, and generates first and second candidate images from respective opposing corners of the first image and third and fourth candidate images from respective opposing corners of the second image. A feature extractor that, for each candidate image, divides the candidate image into a plurality of regions, extracts a plurality of numerical feature values from each of the plurality of regions, and recombines the plurality of feature values into a feature vector that represents the image. A classification element classifies the image into one of a plurality of output classes representing various types of postal indicia according to the numerical feature vector.
摘要翻译：提供一个系统，用于识别和识别信封上的邮戳。该系统包括图像获取元件，其获取表示包络的第一侧的第一图像和表示包络的第二侧的第二图像，并且从第一图像的相应相对角度生成第一和第二候选图像，以及第三图像和第四候选图像。一种特征提取器，对于每个候选图像，将候选图像分割成多个区域，从多个区域中的每个区域提取多个数值特征值，并将多个特征值重新组合成表示图像的特征向量。分类元素根据数字特征向量将图像分类成代表各种类型的邮戳的多个输出类别之一。

12. 发明申请

US20080008379A1 System and method for real-time determination of the orientation of an envelope 审中-公开
标题翻译：用于实时确定信封方向的系统和方法
公开(公告)号：US20080008379A1
公开(公告)日：2008-01-10
申请号：US11482561
申请日：2006-07-07
申请人： Richard S. Andel , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
发明人： Richard S. Andel , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
IPC分类号： G06K9/00 , G06K9/46 , G06K9/64 , G06K9/66
CPC分类号： G06K9/2054 , G06K9/3208 , G06K9/4647
摘要： A system for recognizing and identifying postal indicia on an envelope. This includes an image acquisition element that acquires a first image, representing a first side of the envelope, and a second image, representing a second side of the envelope. A feature extractor, for each of the first and second image, extracts a plurality of numerical feature values from each image as respective first and second feature vectors that represent the envelope. An orientation classification element classifies the envelope into one of a plurality of output classes representing a plurality of possible orientations according to the first and second feature vectors.
摘要翻译：用于在信封上识别和识别邮戳的系统。这包括图像获取元件，其获取代表信封的第一侧的第一图像和表示信封的第二侧的第二图像。对于第一和第二图像中的每一个，特征提取器从每个图像提取多个数字特征值作为表示包络的相应的第一和第二特征向量。方向分类元件根据第一和第二特征向量将包络分类为表示多个可能取向的多个输出类中的一个。

13. 发明申请

US20080008376A1 Detection and identification of postal indicia 审中-公开
标题翻译：检测和识别邮戳
公开(公告)号：US20080008376A1
公开(公告)日：2008-01-10
申请号：US11482386
申请日：2006-07-07
申请人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
发明人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
IPC分类号： G06K9/00 , G06K9/46 , G06K9/64 , G06K9/66
CPC分类号： G06K9/2054 , G06K9/00463 , G06K9/4647
摘要： A system is presented for recognizing and identifying postal indicia on an envelope. The system includes an image acquisition element that acquires at least one binarized image of an envelope and isolates at least one region of interest from the at least one image. A candidate locator attempts to locate at least one candidate object within the at least one region of interest according to the distribution of dark pixels within the at least one region of interest. A feature extractor extracts an associated set of numerical feature values from each of the at least one candidate object. A classification element classifies each candidate object according to its associated set of numerical feature values.
摘要翻译：提供一个系统，用于识别和识别信封上的邮戳。该系统包括图像采集元件，其获取包络的至少一个二值化图像，并且从至少一个图像隔离至少一个感兴趣区域。候选定位器尝试根据感兴趣的至少一个区域内的暗像素的分布来在至少一个感兴趣区域内定位至少一个候选对象。特征提取器从所述至少一个候选对象中的每一个提取相关联的一组数值特征值。分类元素根据其相关的数字特征值集合对每个候选对象进行分类。

14. 发明授权

US07224825B2 Detecting and identifying hazardous substances contained in mail articles 失效
标题翻译：检测和识别邮件中含有的有害物质
公开(公告)号：US07224825B2
公开(公告)日：2007-05-29
申请号：US10417570
申请日：2003-04-17
申请人： William C. Craig , John Gofran , Rosemary D. Paradis
发明人： William C. Craig , John Gofran , Rosemary D. Paradis
IPC分类号： G06K9/00 , G06K9/62 , G06F19/00 , G01N15/02 , G01N31/00
CPC分类号： G01N15/0211 , G01N21/64 , G01N2021/6417
摘要： A method and computer program product are described for detecting and identifying airborne particular matter comprising a plurality of particles. The backscatter induced by each of the particles under a light source is measured to determine a backscatter value for each particle. The autofluorescence intensity of each of the particles around at least one characteristic wavelength is then measured to obtain at least one autofluorescence intensity value for each particle. The measured autofluorescence intensities and the backscatter values from the plurality of particles are processed to determine if a potential biohazard exists. At least one autofluorescence intensity value for each particle is provided to a pattern recognition classifier if a potential biohazard is present. The classifier is trained to recognize at least one variety of airborne particulate matter.
摘要翻译：描述了用于检测和识别包括多个颗粒的空气传播的特定物质的方法和计算机程序产品。测量由光源下的每个颗粒引起的反向散射以确定每个颗粒的反向散射值。然后测量在至少一个特征波长周围的每个颗粒的自发荧光强度，以获得每个颗粒的至少一个自发荧光强度值。处理来自多个颗粒的测量的自发荧光强度和反向散射值以确定是否存在潜在的生物危害。如果存在潜在的生物危害，则每个颗粒的至少一个自发荧光强度值被提供给模式识别分类器。训练分类器以识别至少一种空气中的颗粒物。

15. 发明申请

US20090052732A1 MATERIAL CONTEXT ANALYSIS 失效
标题翻译：材料语境分析
公开(公告)号：US20090052732A1
公开(公告)日：2009-02-26
申请号：US12129383
申请日：2008-05-29
申请人： Peter Dugan , Robert L. Finch , Rosemary D. Paradis
发明人： Peter Dugan , Robert L. Finch , Rosemary D. Paradis
IPC分类号： G06K9/62
CPC分类号： G01N23/06 , G06K9/6263
摘要： A process for contextual analysis of radiographic image data can be embodied as a method, system, and computer software program, among other things. The process can include receiving a radiographic image and performing a region analysis including identifying a region within the radiographic images having an estimated atomic number within a predetermined range and determining if the region is in an expected location. The process can also include performing a material feature analysis to identify whether a feature present in the radiographic image is associated with an obscuration characteristic. The process can include providing context information and generating, as output, a region of interest in the radiographic image, the region of interest being determined based upon a set of rules and the region analysis, the material feature analysis, and the context information.
摘要翻译：用于放射照相图像数据的上下文分析的过程可以体现为方法，系统和计算机软件程序等等。该过程可以包括接收射线照相图像并执行区域分析，包括识别具有在预定范围内的估计原子序数的放射线照相图像内的区域，并确定该区域是否处于预期位置。该过程还可以包括执行材料特征分析以识别放射线照相图像中存在的特征是否与遮蔽特征相关联。该过程可以包括提供上下文信息并且在射线照相图像中生成感兴趣区域作为输出，基于一组规则和区域分析，材料特征分析和上下文信息确定感兴趣区域。

16. 发明授权

US07362892B2 Self-optimizing classifier 失效
标题翻译：自优化分类器
公开(公告)号：US07362892B2
公开(公告)日：2008-04-22
申请号：US10612808
申请日：2003-07-02
申请人： Lori K. Lewis , Rosemary D. Paradis , Dennis A. Tillotson
发明人： Lori K. Lewis , Rosemary D. Paradis , Dennis A. Tillotson
IPC分类号： G06K9/62 , G06F7/00
CPC分类号： G06K9/6217 , G06K9/6262 , Y10S707/99933
摘要： A method and computer program product are disclosed for determining an optimal classifier model for a pattern recognition system and updating the determined model to recognize new output classes. An initial plurality of classifier models are selected from a set of generated classifier models. An optimal representative classifier for each classifier model is selected according to an iterative optimization routine. The representative classifier having the highest associated value for a fitness function is accepted.
摘要翻译：公开了一种用于确定用于模式识别系统的最佳分类器模型并更新所确定的模型以识别新的输出类别的方法和计算机程序产品。从一组生成的分类器模型中选择初始的多个分类器模型。根据迭代优化方案选择每个分类器模型的最优代表分类器。接受具有适合度函数的最高相关值的代表性分类器。

17. 发明申请

US20080008378A1 Arbitration system for determining the orientation of an envelope from a plurality of classifiers 审中-公开
标题翻译：用于确定来自多个分类器的信封的取向的仲裁系统
公开(公告)号：US20080008378A1
公开(公告)日：2008-01-10
申请号：US11482421
申请日：2006-07-07
申请人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
发明人： Richard S. Andel , Sean Corrigan , Rosemary D. Paradis , Kenei Suntarat , Dennis A. Tillotson
IPC分类号： G06K9/00 , G06K9/46 , G06K9/64 , G06K9/32 , G06K9/66
CPC分类号： G06K9/2054 , G06K9/3208 , G06K9/6292
摘要： Systems and methods are provided for determining the orientation of an envelope. A plurality of classification elements are each operative to analyze at least one image of the envelope and produce at least one output value indicative of the orientation of the envelope. An arbitrator determines an associated orientation for the envelope according to the plurality of output values provided by the plurality of classification elements.
摘要翻译：提供了系统和方法来确定信封的方向。多个分类元件各自用于分析信封的至少一个图像并且产生指示信封的取向的至少一个输出值。仲裁者根据由多个分类元素提供的多个输出值来确定信封的相关定向。

18. 发明授权

US07164791B2 Method and computer program product for identifying and incorporating new output classes in a pattern recognition system during system operation 失效
标题翻译：用于在系统操作期间在模式识别系统中识别和合并新的输出类的方法和计算机程序产品
公开(公告)号：US07164791B2
公开(公告)日：2007-01-16
申请号：US10208447
申请日：2002-07-30
申请人： Joseph F. Cecala , Rosemary D. Paradis , Elliott D. Reitz, II
发明人： Joseph F. Cecala , Rosemary D. Paradis , Elliott D. Reitz, II
IPC分类号： G06K9/62
CPC分类号： G06K9/6256
摘要： The present invention recites a method and computer program product for identifying one or more new pattern classes and incorporating the classes into a pattern recognition classifier as output classes. A plurality of input patterns determined not to be associated with any of a set of at least one represented output class by a pattern recognition classifier are rejected. The rejected pattern samples are then grouped into clusters according to the similarities between the pattern samples. Clusters that represent new pattern classes are identified via independent review. The classifier is then retrained to include the new pattern classes as output classes.
摘要翻译：本发明描述了用于识别一个或多个新模式类并将这些类并入作为输出类别的模式识别分类器的方法和计算机程序产品。拒绝由模式识别分类器确定为不与至少一个表示的输出类的集合中的任何一个相关联的多个输入模式。然后根据模式样本之间的相似性将被拒绝的模式样本分组成簇。代表新模式类的群体通过独立审查来识别。然后再分类器将新的模式类作为输出类。

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