CONTENT-BASED DETECTION AND THREE DIMENSIONAL GEOMETRIC RECONSTRUCTION OF OBJECTS IN IMAGE AND VIDEO DATA
    91.
    发明申请
    CONTENT-BASED DETECTION AND THREE DIMENSIONAL GEOMETRIC RECONSTRUCTION OF OBJECTS IN IMAGE AND VIDEO DATA 审中-公开
    基于内容的检测和三维数字重建图像和视频数据中的对象

    公开(公告)号:US20160350592A1

    公开(公告)日:2016-12-01

    申请号:US15234993

    申请日:2016-08-11

    Applicant: Kofax, Inc.

    Abstract: Systems, computer program products, and techniques for reconstructing objects depicted in digital image data within a three-dimensional space are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish reconstruction, thereby avoiding reliance on reconstructing objects based on information derived from location of edges. The inventive concepts thus provide an improvement over conventional object reconstruction since objects may be reconstructed even when edges are obscured or not depicted in the digital image data. In one aspect, a computer-implemented method of reconstructing an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; and reconstructing the digital image of the object within a three dimensional coordinate space based at least in part on some or all of the plurality of identifying features.

    Abstract translation: 根据各种示例性实施例,公开了用于重建在三维空间内的数字图像数据中描绘的对象的系统,计算机程序产品和技术。 本发明的概念独特地利用内部特征来实现重建,从而避免依赖于基于从边缘位置导出的信息来重建对象。 因此,本发明的概念提供了对常规对象重建的改进,因为即使边缘被遮蔽或者未在数字图像数据中被描绘,也可以重构物体。 在一个方面,一种重建数字图像中描绘的对象的计算机实现的方法包括:检测对象的多个识别特征,其中所述多个识别特征位于所述对象的内部; 以及至少部分地基于所述多个识别特征中的一些或全部,在三维坐标空间内重建所述对象的数字图像。

    SELECTIVE, USER-MEDIATED CONTENT RECOGNITION USING MOBILE DEVICES
    92.
    发明申请
    SELECTIVE, USER-MEDIATED CONTENT RECOGNITION USING MOBILE DEVICES 审中-公开
    选择性,用户介绍的使用移动设备的内容识别

    公开(公告)号:US20160259974A1

    公开(公告)日:2016-09-08

    申请号:US15059242

    申请日:2016-03-02

    Applicant: Kofax, Inc.

    Abstract: A method includes: displaying a digital image on a first portion of a display of a mobile device; receiving user feedback via the display of the mobile device; analyzing the user feedback to determine a meaning of the user feedback; based on the determined meaning of the user feedback, analyzing a portion of the digital image corresponding to either the point of interest or the region of interest to detect one or more connected components depicted within the portion of the digital image; classifying each detected connected component depicted within the portion of the digital image; estimating an identity of each detected connected component based on the classification of the detected connected component; and one or more of: displaying the identity of each detected connected component on a second portion of the display of the mobile device; and providing the identity of each detected connected component to a workflow.

    Abstract translation: 一种方法包括:在移动设备的显示器的第一部分上显示数字图像; 通过移动设备的显示接收用户反馈; 分析用户反馈以确定用户反馈的含义; 基于所确定的用户反馈意义,分析对应于感兴趣点或感兴趣区域的数字图像的一部分,以检测在数字图像的该部分内描绘的一个或多个连接的组件; 对在数字图像的部分内描绘的每个检测到的连接分量进行分类; 基于检测到的连接分量的分类来估计每个检测到的连接分量的身份; 以及一个或多个:在移动设备的显示器的第二部分上显示每个检测到的连接分量的身份; 并将每个检测到的连接的组件的身份提供给工作流。

    DETERMINING DISTANCE BETWEEN AN OBJECT AND A CAPTURE DEVICE BASED ON CAPTURED IMAGE DATA
    93.
    发明申请
    DETERMINING DISTANCE BETWEEN AN OBJECT AND A CAPTURE DEVICE BASED ON CAPTURED IMAGE DATA 有权
    基于捕获的图像数据确定对象和捕获设备之间的距离

    公开(公告)号:US20160055395A1

    公开(公告)日:2016-02-25

    申请号:US14932902

    申请日:2015-11-04

    Applicant: Kofax, Inc.

    Abstract: In various embodiments, methods, systems, and computer program products for determining distance between an object and a capture device are disclosed. The distance determination techniques are based on image data captured by the capture device, where the image data represent the object. These techniques improve the function of capture devices such as mobile phones by enabling determination of distance using a single lens capture device, and based on intrinsic parameters of the capture device, such as focal length and scaling factor(s), in preferred approaches. In some approaches, the distance estimation may be based in part on a priori knowledge regarding size of the object represented in the image data. Distance determination may be based on a homography transform and/or reference image data representing the object, a same type or similar type of object, in more approaches.

    Abstract translation: 在各种实施例中,公开了用于确定物体和捕获装置之间的距离的方法,系统和计算机程序产品。 距离确定技术基于由捕获设备捕获的图像数据,其中图像数据表示对象。 这些技术通过使用单个透镜捕获装置能够确定距离,并且基于捕获装置的固有参数(例如焦距和缩放因子)来优化手段等捕获装置的功能。 在一些方法中,距离估计可以部分地基于关于在图像数据中表示的对象的大小的先验知识。 在更多方法中,距离确定可以基于表示对象,相同类型或类似对象的单变形变换和/或参考图像数据。

    MACHINE PRINT, HAND PRINT, AND SIGNATURE DISCRIMINATION
    94.
    发明申请
    MACHINE PRINT, HAND PRINT, AND SIGNATURE DISCRIMINATION 有权
    机器打印,手动打印和签名辨别

    公开(公告)号:US20150347836A1

    公开(公告)日:2015-12-03

    申请号:US14726335

    申请日:2015-05-29

    Applicant: Kofax, Inc.

    CPC classification number: G06K9/00422 G06K9/00187 G06K9/346

    Abstract: Systems, computer program products, and techniques for discriminating hand and machine print from each other, and from signatures, are disclosed and include determining a color depth of an image, the color depth corresponding to at least one of grayscale, bi-tonal and color; reducing color depth of non-bi-tonal images to generate a bi-tonal representation of the image; identifying a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including one or more of true graphical lines and false positives; discriminating any of the true graphical lines from any of the false positives; removing the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; and identifying one or more of the connected components in the component map.

    Abstract translation: 公开了系统,计算机程序产品以及用于区分手和打印机和从签名的技术,并且包括确定图像的颜色深度,对应于灰度级,双色调和颜色中的至少一个的颜色深度 ; 减少非双色调图像的颜色深度以产生图像的双色调表示; 在双色调图像或双色调表示中识别一组一个或多个图形线候选,所述图形线候选包括真实图形线和假阳性中的一个或多个; 区分任何真实图形线与任何假阳性; 从双色调图像或双色调表示中去除真实的图形线,而不去除假阳性以生成包括连接的组件并排除图形线的分量图; 以及识别组件图中的一个或多个连接的组件。

    SYSTEMS AND METHODS FOR MOBILE IMAGE CAPTURE AND PROCESSING
    95.
    发明申请
    SYSTEMS AND METHODS FOR MOBILE IMAGE CAPTURE AND PROCESSING 审中-公开
    用于移动图像捕获和处理的系统和方法

    公开(公告)号:US20150324390A1

    公开(公告)日:2015-11-12

    申请号:US14804281

    申请日:2015-07-20

    Applicant: KOFAX, INC.

    Abstract: In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. The exemplary image processing techniques are coupled with inbound and outbound communications protocols and workflows configured to facilitate closed-loop processing, such that a method includes initiating a workflow; providing one or more of case information and raw data to the workflow; processing one or more of the case information and the raw data to generate a processing result; storing at least some of the case information in association with the processing result, wherein the associated case information acts as an identifier of the processing result; transmitting at least the processing result and the identifier; receiving, in response to the transmitting, a reply comprising the identifier; and retrieving at least the processing result using the identifier.

    Abstract translation: 在各种实施例中,公开了用于处理由移动设备捕获的数字图像的方法,系统和计算机程序产品。 该示例性图像处理技术与配置成促进闭环处理的入站和出站通信协议和工作流相结合,使得方法包括发起工作流; 向工作流提供一个或多个案例信息和原始数据; 处理一个或多个案例信息和原始数据以产生处理结果; 与所述处理结果相关联地存储所述情况信息中的至少一些,其中,所述相关联的情况信息充当所述处理结果的标识符; 至少发送处理结果和标识符; 响应于所述发送,接收包括所述标识符的回复; 以及使用所述标识符至少检索所述处理结果。

    Systems, methods and computer program products for determining document validity
    96.
    发明授权
    Systems, methods and computer program products for determining document validity 有权
    用于确定文件有效性的系统,方法和计算机程序产品

    公开(公告)号:US08958605B2

    公开(公告)日:2015-02-17

    申请号:US14176006

    申请日:2014-02-07

    Applicant: Kofax, Inc.

    Abstract: In one embodiment, a method includes performing optical character recognition (OCR) on an image of a financial document and at least one of: (a) correct OCR errors in the financial document using at least one of textual information from a complementary document and predefined business rules; (b) normalize data from the complementary document using at least one of textual information from the financial document and the predefined business rules; and (c) normalize data from the financial document using at least one of textual information from the complementary document and the predefined business rules. Exemplary systems and computer program products are also disclosed.

    Abstract translation: 在一个实施例中,一种方法包括对财务文件的图像执行光学字符识别(OCR),并且至少一个:(a)使用来自补充文档的文本信息和预定义的文本信息中的至少一个,在财务文档中正确的OCR错误 业务规则; (b)使用来自财务文件和预定义业务规则的文本信息中的至少一个来对来自补充文档的数据进行规范化; 以及(c)使用来自补充文件和预定义业务规则的文本信息中的至少一个来从财务文件规范化数据。 还公开了示例性系统和计算机程序产品。

    SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY
    97.
    发明申请
    SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY 有权
    用于确定文件有效性的系统,方法和计算机程序产品

    公开(公告)号:US20130308832A1

    公开(公告)日:2013-11-21

    申请号:US13948046

    申请日:2013-07-22

    Applicant: Kofax, Inc.

    CPC classification number: G06K9/00442 G06K9/00469 H04N1/40

    Abstract: A method according to one embodiment includes performing optical character recognition (OCR) on an image of a first document; and at least one of: correcting OCR errors in the first document using at least one of textual information from a complementary document and predefined business rules; normalizing data from the complementary document using at least one of textual information from the first document and the predefined business rules; and normalizing data from the first document using at least one of textual information from the complementary document and the predefined business rules. Additional systems, methods and computer program products are also presented.

    Abstract translation: 根据一个实施例的方法包括对第一文档的图像执行光学字符识别(OCR); 以及至少一个:使用来自补充文档和预定义业务规则的文本信息中的至少一个来修正第一文档中的OCR错误; 使用来自第一文档和预定义业务规则的文本信息中的至少一个来对来自补充文档的数据进行归一化; 以及使用来自所述补充文档和所述预定义业务规则的文本信息中的至少一个来对来自所述第一文档的数据进行规范化。 还介绍了其他系统,方法和计算机程序产品。

    SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY
    98.
    发明申请
    SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY 有权
    用于确定文件有效性的系统,方法和计算机程序产品

    公开(公告)号:US20130088757A1

    公开(公告)日:2013-04-11

    申请号:US13691610

    申请日:2012-11-30

    Applicant: Kofax, Inc.

    CPC classification number: G06K9/00442 G06K9/00469 H04N1/40

    Abstract: A method according to one embodiment includes performing optical character recognition (OCR) on an image of a first document; generating a list of hypotheses mapping the first document to a complementary document using: textual information from the first document, textual information from the complementary document, and predefined business rules; at least one of: correcting OCR errors in the first document, and normalizing data from the complementary document, using at least one of the textual information from the complementary document and the predefined business rules; determining a validity of the first document based on the hypotheses; and outputting an indication of the determined validity. Additional systems, methods and computer program products are also presented.

    Abstract translation: 根据一个实施例的方法包括对第一文档的图像执行光学字符识别(OCR); 生成将第一个文档映射到补充文档的假设列表,使用:来自第一个文档的文本信息,来自补充文档的文本信息和预定义的业务规则; 至少一个:在所述第一文档中校正OCR错误,以及使用来自所述补充文档和所述预定义业务规则的所述文本信息中的至少一个来从所述补充文档规范化数据; 基于假设确定第一文档的有效性; 并输出确定的有效性的指示。 还介绍了其他系统,方法和计算机程序产品。

    Object detection and image cropping using a multi-detector approach

    公开(公告)号:US11593585B2

    公开(公告)日:2023-02-28

    申请号:US17006636

    申请日:2020-08-28

    Applicant: Kofax, Inc.

    Abstract: Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image, wherein each of the first plurality of pixels is located in a background region of the digital image; optionally sampling color information from a second plurality of pixels of the digital image, wherein each of the second plurality of pixels is located in a foreground region of the digital image; assigning each pixel a label of either foreground or background using an adaptive label learning process; binarizing the digital image based on the labels assigned to each pixel; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

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