Patents by Inventor Andrei Upshinskii

Andrei Upshinskii 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).

  • RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS
    Publication number: 20240037969
    Abstract: In one embodiment, a system receives an image depicting a line of text. The system segments the image into two or more fragment images. For each of the two or more fragment images, the system determines a first hypothesis to segment the fragment image into a first plurality of grapheme images and a first fragmentation confidence score. The system determines a second hypothesis to segment the fragment image into a second plurality of grapheme images and a second fragmentation confidence score. The system determines that the first fragmentation confidence score is greater than the second fragmentation confidence score. The system translates the first plurality of grapheme images defined by the first hypothesis to symbols. The system assembles the symbols of each fragment image to derive the line of text.
    Type: Application
    Filed: October 10, 2023
    Publication date: February 1, 2024
    Inventor: Andrei Upshinskii
  • Recognition of handwritten text via neural networks
    Patent number: 11790675
    Abstract: In one embodiment, a system receives an image depicting a line of text. The system segments the image into two or more fragment images. For each of the two or more fragment images, the system determines a first hypothesis to segment the fragment image into a first plurality of grapheme images and a first fragmentation confidence score. The system determines a second hypothesis to segment the fragment image into a second plurality of grapheme images and a second fragmentation confidence score. The system determines that the first fragmentation confidence score is greater than the second fragmentation confidence score. The system translates the first plurality of grapheme images defined by the first hypothesis to symbols. The system assembles the symbols of each fragment image to derive the line of text.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: October 17, 2023
    Assignee: ABBYY Development Inc.
    Inventor: Andrei Upshinskii
  • RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS
    Publication number: 20220164589
    Abstract: In one embodiment, a system receives an image depicting a line of text. The system segments the image into two or more fragment images. For each of the two or more fragment images, the system determines a first hypothesis to segment the fragment image into a first plurality of grapheme images and a first fragmentation confidence score. The system determines a second hypothesis to segment the fragment image into a second plurality of grapheme images and a second fragmentation confidence score. The system determines that the first fragmentation confidence score is greater than the second fragmentation confidence score. The system translates the first plurality of grapheme images defined by the first hypothesis to symbols. The system assembles the symbols of each fragment image to derive the line of text.
    Type: Application
    Filed: November 30, 2020
    Publication date: May 26, 2022
    Inventor: Andrei Upshinskii