Patents by Inventor Isabella Phoebe Groenewegen MOORE

Isabella Phoebe Groenewegen MOORE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Utilizing machine learning models, position based extraction, and automated data labeling to process image-based documents
    Patent number: 11521372
    Abstract: A device may receive image data that includes an image of a document and lexicon data identifying a lexicon, and may perform an extraction technique on the image data to identify at least one field in the document. The device may utilize form segmentation to automatically generate label data identifying labels for the image data, and may process the image data, the label data, and data identifying the at least one field, with a first model, to identify visual features. The device may process the image data and the visual features, with a second model, to identify sequences of characters, and may process the image data and the sequences of characters, with a third model, to identify strings of characters. The device may compare the lexicon data and the strings of characters to generate verified strings of characters that may be utilized to generate a digitized document.
    Type: Grant
    Filed: March 20, 2020
    Date of Patent: December 6, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajendra Prasad Tanniru, Aditi Kulkarni, Koushik M. Vijayaraghavan, Luke Higgins, Xiwen Sun, Riley Green, Man Lok Ching, Jiayi Chen, Xiaolei Liu, Isabella Phoebe Groenewegen Moore, Reuben Lema
  • UTILIZING MACHINE LEARNING MODELS, POSITION BASED EXTRACTION, AND AUTOMATED DATA LABELING TO PROCESS IMAGE-BASED DOCUMENTS
    Publication number: 20210295103
    Abstract: A device may receive image data that includes an image of a document and lexicon data identifying a lexicon, and may perform an extraction technique on the image data to identify at least one field in the document. The device may utilize form segmentation to automatically generate label data identifying labels for the image data, and may process the image data, the label data, and data identifying the at least one field, with a first model, to identify visual features. The device may process the image data and the visual features, with a second model, to identify sequences of characters, and may process the image data and the sequences of characters, with a third model, to identify strings of characters. The device may compare the lexicon data and the strings of characters to generate verified strings of characters that may be utilized to generate a digitized document.
    Type: Application
    Filed: March 20, 2020
    Publication date: September 23, 2021
    Inventors: Rajendra Prasad TANNIRU, Aditi KULKARNI, Koushik M. VIJAYARAGHAVAN, Luke HIGGINS, Xiwen SUN, Riley GREEN, Man Lok CHING, Jiayi CHEN, Xiaolei LIU, Isabella Phoebe Groenewegen MOORE, Reuben LEMA