Patents by Inventor Bethany KOK

Bethany KOK 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).

  • Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models
    Patent number: 12175799
    Abstract: Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models and without manual localization or review. For example, the system may receive an input image, wherein the input image comprises native printed content and handwritten content. The system may process the input image with a model to generate an output image, wherein the output image comprises extracted handwritten content based on the native handwritten content. The system may process the output image to digitally recognize the extracted handwritten content. The system may generate a digital representation of the input image, wherein the digital representation comprises the native printed content and the digitally recognized extracted handwritten content.
    Type: Grant
    Filed: July 9, 2021
    Date of Patent: December 24, 2024
    Assignee: THE BANK OF NEW YORK MELLON
    Inventors: Houssem Chatbri, Bethany Kok
  • METHODS AND SYSTEMS FOR ADAPTIVE, TEMPLATE-INDEPENDENT HANDWRITING EXTRACTION FROM IMAGES USING MACHINE LEARNING MODELS
    Publication number: 20230008766
    Abstract: Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models and without manual localization or review. For example, the system may receive an input image, wherein the input image comprises native printed content and handwritten content. The system may process the input image with a model to generate an output image, wherein the output image comprises extracted handwritten content based on the native handwritten content. The system may process the output image to digitally recognize the extracted handwritten content. The system may generate a digital representation of the input image, wherein the digital representation comprises the native printed content and the digitally recognized extracted handwritten content.
    Type: Application
    Filed: July 9, 2021
    Publication date: January 12, 2023
    Inventors: Houssem CHATBRI, Bethany KOK