OBJECT DETECTION AND IMAGE CROPPING USING A MULTI-DETECTOR APPROACH

    公开(公告)号:US20190164010A1

    公开(公告)日:2019-05-30

    申请号:US16206912

    申请日:2018-11-30

    Applicant: Kofax, Inc.

    Abstract: Computerized techniques for real-time object detection from video data include: defining an analysis profile comprising an initial number of analysis cycles dedicated to each of a plurality of detectors, each detector being independently configured to detect objects according to a unique set of analysis parameters; receiving a plurality of frames of digital video data, the digital video data depicting an object; analyzing the plurality of frames using the plurality of detectors and in accordance with the analysis profile, wherein analyzing the plurality of frames produces an analysis result for each of the plurality of detectors; determining a confidence score for each of the analysis results; and updating the analysis profile by adjusting the number of analysis cycles dedicated to at least one of the plurality of detectors based on the confidence scores. Corresponding systems and computer program products are also disclosed.

    MOBILE DOCUMENT DETECTION AND ORIENTATION BASED ON REFERENCE OBJECT CHARACTERISTICS

    公开(公告)号:US20170357869A1

    公开(公告)日:2017-12-14

    申请号:US15672200

    申请日:2017-08-08

    Applicant: Kofax, Inc.

    Abstract: In various embodiments, computer program products for detecting, estimating, calculating, etc. characteristics of a document based on reference objects depicted on the document are disclosed. In one approach, a computer program product for processing a digital image depicting a document includes instructions executable by a computer for analyzing the digital image to determine one or more of a presence and a location of one or more reference objects; determining one or more geometric characteristics of at least one of the reference objects; defining one or more region(s) of interest based at least in part on one or more of the determined geometric characteristics; and detecting a presence or absence of an edge of the document within each defined region of interest. Additional embodiments leverage the type of document depicted in the image, multiple frames of image data, and/or calculate or extrapolate document edges rather than locating edges in the image.

    BUILDING CLASSIFICATION AND EXTRACTION MODELS BASED ON ELECTRONIC FORMS

    公开(公告)号:US20170109610A1

    公开(公告)日:2017-04-20

    申请号:US15396322

    申请日:2016-12-30

    Applicant: Kofax, Inc.

    Abstract: According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.

    Systems and methods for improving video captured using mobile devices
    59.
    发明授权
    Systems and methods for improving video captured using mobile devices 有权
    改进使用移动设备捕获的视频的系统和方法

    公开(公告)号:US09584729B2

    公开(公告)日:2017-02-28

    申请号:US14981759

    申请日:2015-12-28

    Applicant: Kofax, Inc.

    Abstract: Systems, methods, and computer program products for capturing and analyzing image data, preferably video data, are disclosed. The inventive concepts include using multiple frames of image data to generate a composite image, where the composite image may be characterized by a higher resolution than one or more of the individual frames used to generate the composite image, and/or absence of a blurred region present in one or more of the individual frames. Inventive techniques also include determining a minimum capture resolution appropriate for capturing images of particular objects for downstream processing, and optionally triggering generation of a composite image having sufficient resolution to facilitate the downstream processing in response to detecting one or more frames of image data are characterized by a resolution, and/or a region having a resolution, less than the minimum capture resolution appropriate for capturing images of those particular objects.

    Abstract translation: 公开了用于捕获和分析图像数据(优选视频数据)的系统,方法和计算机程序产品。 本发明的概念包括使用多帧图像数据来生成合成图像,其中合成图像的特征可以是比用于产生合成图像的单个帧中的一个或多个更高的分辨率,和/或不存在模糊区域 存在于一个或多个单独的帧中。 发明技术还包括确定适于捕获用于下游处理的特定对象的图像的最小捕获分辨率,以及可选地触发具有足够分辨率的合成图像的生成以促进响应于检测到一个或多个图像数据帧的下游处理,其特征在于 分辨率和/或具有小于适于捕获那些特定对象的图像的最小捕获分辨率的分辨率的区域。

    ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION
    60.
    发明申请
    ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION 审中-公开
    迭代识别引导和数据提取

    公开(公告)号:US20170024629A1

    公开(公告)日:2017-01-26

    申请号:US15214351

    申请日:2016-07-19

    Applicant: Kofax, Inc.

    Abstract: Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. 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 independently binarized. 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. Corresponding systems and computer program products are also disclosed.

    Abstract translation: 根据各种实施例公开了用于从数字图像数据改进二值化和提取信息的技术。 本发明的概念包括基于各个特征来独立地二值化图像数据的部分。 并且使用多个不同的二值化阈值来获得独立二进制化的图像数据的每个部分的最佳二值化结果。 确定每个二值化结果的质量可以基于从其中的信息的尝试识别和/或提取。 独立的二值化部分可以组装成连续的结果。 在一个实施例中,一种方法包括:识别数字图像内的感兴趣区域; 使用不同的二值化阈值,基于感兴趣区域生成多个二值化图像; 以及从所述多个二值化图像中的一些或全部提取数据。 还公开了相应的系统和计算机程序产品。

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