ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION

    公开(公告)号:US20210383150A1

    公开(公告)日:2021-12-09

    申请号:US17348584

    申请日:2021-06-15

    Applicant: Kofax, Inc.

    Abstract: Techniques for binarization and extraction of information from image data are disclosed. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. The extracted data includes connected components that overlap and/or are obscured by unique background. Corresponding systems and computer program products are disclosed.

    CONTENT-BASED DETECTION AND THREE DIMENSIONAL GEOMETRIC RECONSTRUCTION OF OBJECTS IN IMAGE AND VIDEO DATA

    公开(公告)号:US20200380643A1

    公开(公告)日:2020-12-03

    申请号:US16997800

    申请日:2020-08-19

    Applicant: Kofax, Inc.

    Abstract: Systems, computer program products, and techniques for detecting and/or reconstructing objects depicted in digital image data within a three-dimensional space are disclosed. The concepts utilize internal features for detection and reconstruction, avoiding reliance on information derived from location of edges. The inventive concepts provide an improvement over conventional techniques since objects may be detected and/or reconstructed even when edges are obscured or not depicted in the digital image data. In one aspect, detecting a document depicted in a digital image includes: detecting a plurality of identifying features of the document, wherein the plurality of identifying features are located internally with respect to the object; projecting a location of one or more edges of the document based at least in part on the plurality of identifying features; and outputting the projected location of the one or more edges of the document to a display of a computer, and/or a memory.

    Content-based detection and three dimensional geometric reconstruction of objects in image and video data

    公开(公告)号:US10783613B2

    公开(公告)日:2020-09-22

    申请号:US16151090

    申请日:2018-10-03

    Applicant: Kofax, Inc.

    Abstract: Systems, computer program products, and techniques for detecting and/or 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 detected and/or reconstructed even when edges are obscured or not depicted in the digital image data. In one aspect, reconstructing an object depicted in a digital image includes using a processor to: detect a plurality of identifying features of the object, where the identifying features are located internally with respect to the object; and reconstruct the digital image of the object within a three dimensional coordinate space based at least in part on some or all of the identifying features.

    ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION

    公开(公告)号:US20190171900A1

    公开(公告)日:2019-06-06

    申请号:US16267205

    申请日:2019-02-04

    Applicant: Kofax, Inc.

    Abstract: Techniques for binarization and extraction of information from image data are disclosed. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; subjecting the region of interest within a digital image to a plurality of thresholding and extraction iterations; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are disclosed.

    Content-based detection and three dimensional geometric reconstruction of objects in image and video data

    公开(公告)号:US10127636B2

    公开(公告)日:2018-11-13

    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.

    SYSTEMS AND METHODS FOR ORGANIZING DATA SETS

    公开(公告)号:US20170329838A1

    公开(公告)日:2017-11-16

    申请号:US15666409

    申请日:2017-08-01

    Applicant: Kofax, Inc.

    CPC classification number: G06F17/30598 G06F17/30312 G06F17/3053 G06N99/005

    Abstract: According to one embodiment, a computer-implemented method for cleaning up a data set having a possible incorrect label includes: selecting a plurality of training documents; estimating a quality of an organization of a plurality of categories; and determining whether the quality of the organization is greater than a predetermined quality threshold. Corresponding system and computer program product embodiments are also presented. Other aspects and advantages of the present invention will become apparent from the following detailed description, which, when taken in conjunction with the drawings, illustrate by way of example the principles of the invention.

    Systems and methods for classifying objects in digital images captured using mobile devices
    8.
    发明授权
    Systems and methods for classifying objects in digital images captured using mobile devices 有权
    用于使用移动设备捕获的数字图像中的对象进行分类的系统和方法

    公开(公告)号:US09311531B2

    公开(公告)日:2016-04-12

    申请号:US14209825

    申请日:2014-03-13

    Applicant: Kofax, Inc.

    Abstract: A method includes receiving or capturing a digital image using a mobile device, and using a processor of the mobile device to: determine whether an object depicted in the digital image belongs to a particular object class among a plurality of object classes; determine one or more object features of the object based at least in part on the particular object class at least partially in response to determining the object belongs to the particular object class; build or select an extraction model based at least in part on the one or more determined object features; and extract data from the digital image using the extraction model. The extraction model excludes, and/or the extraction process does not utilize, optical character recognition (OCR) techniques. Related systems and computer program products are also disclosed.

    Abstract translation: 一种方法包括使用移动设备接收或捕获数字图像,并且使用所述移动设备的处理器来:确定所述数字图像中描绘的对象是否属于多个对象类别中的特定对象类别; 至少部分地基于所述特定对象类来至少部分地响应于确定属于所述特定对象类的对象来确定所述对象的一个​​或多个对象特征; 至少部分地基于一个或多个确定的对象特征构建或选择提取模型; 并使用提取模型从数字图像中提取数据。 提取模式不包括,和/或提取过程不利用光学字符识别(OCR)技术。 还公开了相关系统和计算机程序产品。

    SYSTEMS AND METHODS FOR ORGANIZING DATA SETS
    9.
    发明申请
    SYSTEMS AND METHODS FOR ORGANIZING DATA SETS 有权
    用于组织数据集的系统和方法

    公开(公告)号:US20150269245A1

    公开(公告)日:2015-09-24

    申请号:US14733742

    申请日:2015-06-08

    Applicant: Kofax, Inc.

    CPC classification number: G06F17/30598 G06F17/30312 G06F17/3053 G06N99/005

    Abstract: A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at least one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented.

    Abstract translation: 提供了一种用于组织数据集的方法。 在使用中,创建或更新自动决策系统以确定数据元素是否符合预定义的组织,其中决策系统基于一组预先组织的数据元素。 使用决策系统来组织多个数据元素。 基于来自决策系统对于至少一个有组织数据元素的分数或置信度,选择至少一个有组织数据元素来输出给用户。 此外,至少一个有组织数据元素的至少一部分被输出给用户。 从用户接收到包括至少一个有组织数据元素的组织的确认,修改和否定中的至少一个的响应。 基于用户响应重新创建或更新自动决策系统。 还提出了其他实施例。

    SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY
    10.
    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:US20150110362A1

    公开(公告)日:2015-04-23

    申请号:US14588147

    申请日:2014-12-31

    Applicant: Kofax, Inc.

    Abstract: According to one embodiment, a method includes: capturing an image of a financial document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the financial document; extracting an identifier of the financial document from the image based at least in part on the OCR; associating the image of the financial document with metadata descriptive of one or more of the financial document and financial information relating to the financial document; and storing the image of the financial document and the associated metadata to a memory of the mobile device. Exemplary systems and computer program products are also disclosed.

    Abstract translation: 根据一个实施例,一种方法包括:使用移动设备的照相机捕获金融文档的图像; 对财务文件的图像执行光学字符识别(OCR); 至少部分地基于所述OCR从所述图像提取所述财务文档的标识符; 将财务文件的图像与描述财务文件中的一个或多个以及与财务文档相关的财务信息的元数据相关联; 以及将所述金融文档的图像和相关联的元数据存储到所述移动设备的存储器。 还公开了示例性系统和计算机程序产品。

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