Patents by Inventor Esperanza Eugenia Puigserver Martorell

Esperanza Eugenia Puigserver Martorell 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).

  • Patent number: 11514698
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing intelligent extraction of information from a document. A computing module receives input data representing an image of a document. The module also receives context data for the document. The context data includes parameters that are descriptive of the document in the image. The module processes the input data and the context data to determine a complexity value that characterizes a level of complexity in identifying information to be extracted from the document. The system selects a machine-learning model to use in extracting information from the document. The model is selected based on the complexity value and from multiple candidate models. The system extracts information from the document using the selected model, including converting a portion of the image of the document that shows typed or handwritten text into a digitized text string.
    Type: Grant
    Filed: July 16, 2020
    Date of Patent: November 29, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Carlos Gaston Besanson Tuma, Jaime Rodriguez Lagunas, Sandra Orozco Martín, Esperanza Eugenia Puigserver Martorell, Joan Verdu Arnal, Reynaldo Alberto España Rey
  • Publication number: 20210064860
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing intelligent extraction of information from a document. A computing module receives input data representing an image of a document. The module also receives context data for the document. The context data comprises parameters that are descriptive of the document in the image. The module processes the input data and the context data to determine a complexity value that characterizes a level of complexity in identifying information to be extracted from the document. The system selects a machine-learning model to use in extracting information from the document. The model is selected based on the complexity value and from multiple candidate models. The system extracts information from the document using the selected model, comprising converting a portion of the image of the document that shows typed or handwritten text into a digitized text string.
    Type: Application
    Filed: July 16, 2020
    Publication date: March 4, 2021
    Inventors: Carlos Gaston Besanson Tuma, Jaime Rodriguez Lagunas, Sandra Orozco Martín, Esperanza Eugenia Puigserver Martorell, Joan Verdu Arnal, Reynaldo Alberto España Rey