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19 条记录 (耗时 0.013 秒)

    SYSTEM FOR IDENTIFYING HANDWRITTEN CHARACTERS ON AN IMAGE USING A CLASSIFICATION MODEL
    4.
    发明公开
    SYSTEM FOR IDENTIFYING HANDWRITTEN CHARACTERS ON AN IMAGE USING A CLASSIFICATION MODEL 审中-公开

    公开(公告)号：US20230351785A1

    公开(公告)日：2023-11-02

    申请号：US17815712

    申请日：2022-07-28

    申请人： Truist Bank

    发明人： Raphael Fitzgerald

    IPC分类号： G06V30/226 ,  G06N3/08

    CPC分类号： G06V30/226 ,  G06N3/088

    摘要： A system for identifying handwritten characters on an image using a classification model that employs a neural network. The system includes a computer having a processor and a memory device that stores data and executable code that, when executed, causes the processor to read and convert typed text on the image to machine encoded text to identify locations of the typed text on the image; identify a location on the image that includes handwritten text based on the location of predetermined typed text on the image; identify clusters of non-white pixels in the image at the location having the handwritten text, where constraints are employed to refine and limit the clusters; generate an individual and separate cluster image for each identified cluster; and classify each cluster image using machine learning and at least one neural network to determine the likelihood that the cluster is a certain character.

    Method, apparatus, and computer-readable storage medium for recognizing characters in a digital document
    5.
    发明授权
    Method, apparatus, and computer-readable storage medium for recognizing characters in a digital document 有权

    公开(公告)号：US11704924B2

    公开(公告)日：2023-07-18

    申请号：US17975963

    申请日：2022-10-28

    申请人： LEAD TECHNOLOGIES, INC.

    发明人： Moe Daher ,  Waseem Shadid

    IPC分类号： G06V30/00 ,  G06V30/413 ,  G06V30/32 ,  G06V30/18 ,  G06V30/226 ,  G06V30/19

    CPC分类号： G06V30/413 ,  G06V30/1801 ,  G06V30/18105 ,  G06V30/19173 ,  G06V30/226 ,  G06V30/36

    摘要： Method, computer readable medium, and apparatus of recognizing character zone in a digital document. In an embodiment, the method includes classifying a segment of the digital document as including text, calculating at least one parameter value associated with the classified segment of the digital document, determining, based on the calculated at least one parameter value, a zonal parameter value, classifying the segment of the digital document as a handwritten text zone or as a printed text zone based on the determined zonal parameter value and a threshold value, the threshold value being based on a selection of an intersection of a handwritten text distribution profile and a printed text distribution profile, each of the handwritten text distribution profile and the printed text distribution profile being associated with a zonal parameter corresponding to the determined zonal parameter value, and generating, based on the classifying, a modified version of the digital document.

    OBJECT DETECTION USING NEURAL NETWORKS
    7.
    发明公开
    OBJECT DETECTION USING NEURAL NETWORKS 审中-公开

    公开(公告)号：US20230230402A1

    公开(公告)日：2023-07-20

    申请号：US17697721

    申请日：2022-03-17

    申请人： ACCENTURE GLOBAL SOLUTIONS LIMITED

    发明人： Andre CHATZISTAMATIOU ,  Florin CREMENESCU ,  Jomarie Rodelas GARCIA ,  Guillaume DEBARD ,  Nadia Elina ALAIYAN

    IPC分类号： G06V30/19 ,  G06V30/226 ,  G06V10/82

    CPC分类号： G06V30/19147 ,  G06V30/226 ,  G06V10/82

    摘要： Systems and methods for facilitating an automated detection of an object in a test document are disclosed. A system may include a processor including a dataset generator. The dataset generator may obtain a first input image and a first original document from a data lake. The dataset generator may prune a portion of the first original document to obtain a pruned image. The dataset generator may blend the first input image with the pruned image to generate a modified image. The modified image may include the pruned image bearing the first pre-defined representation. The modified image may be combined with the first original document to generate a training dataset. The training dataset may be utilized to train a neural network based model to obtain a trained model for the automated detection of the object in the test document.

    AUTOMATIC GENERATION OF DOCUMENTATION USING CODING PATTERNS
    9.
    发明公开
    AUTOMATIC GENERATION OF DOCUMENTATION USING CODING PATTERNS 审中-公开

    公开(公告)号：US20240354104A1

    公开(公告)日：2024-10-24

    申请号：US18760057

    申请日：2024-07-01

    申请人： S.T. Swimm Tech Ltd

    发明人： Omer ROSENBAUM ,  Saar RAZ ,  Oren TOLEDANO ,  Tom AHI-DROR ,  Gilad NAVOT

    IPC分类号： G06F8/73 ,  G06F16/33 ,  G06F16/93 ,  G06F21/62 ,  G06V30/226

    CPC分类号： G06F8/73 ,  G06F16/3331 ,  G06F16/94 ,  G06F21/6209 ,  G06V30/226

    摘要： A method for generating documentation text comprises: extracting, from a plurality of source files of a software program, a plurality of element identifiers, each identifying an element of the software program; selecting a set of selected element identifiers of the plurality of element identifiers according to a plurality of scores, each score computed for an element identifier of the plurality of element identifiers; and for each of the set of selected element identifiers: generating an element documentation text using a documentation template and a plurality of patterns identified in a plurality of usage instances where in each of the plurality of usage instances the selected element identifier exists in at least one of the plurality of source files; and adding the element documentation text to a repository of documentation text associated with the plurality of source files.

    Apparatus and a method for detecting fraudulent signature inputs
    10.
    发明授权
    Apparatus and a method for detecting fraudulent signature inputs 有权

    公开(公告)号：US12125318B1

    公开(公告)日：2024-10-22

    申请号：US18635241

    申请日：2024-04-15

    申请人： Quick Quack Car Wash Holdings, LLC

    发明人： Josh David Schumacher ,  Betsy Danielle Urschel

    IPC分类号： G06V10/00 ,  G06V30/19 ,  G06V30/226 ,  G06V40/30

    CPC分类号： G06V40/33 ,  G06V30/19107 ,  G06V30/226

    摘要： An apparatus for detecting fraudulent signature inputs is disclosed. The apparatus includes at least a processor and a memory. The memory instructs the processor to receive a plurality of image data from a user. The memory instructs the processor to identify a plurality of signature elements as a function of the plurality of signature inputs. The memory instructs the processor to determine a plurality of signature scores as a function of the plurality of signature elements, wherein the plurality of signature scores comprises a first set of signature scores and a second set of signature scores. The memory instructs the processor to generate an accuracy threshold as a function of the first set of signature scores. The memory instructs the processor to determine one or more fraudulent signature inputs from the plurality of signature inputs as a function of a comparison of signature score to an accuracy threshold.