Patents by Inventor Aleksey Alekseevich Zhuravlev

Aleksey Alekseevich Zhuravlev 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).

  • Differential classification using multiple neural networks
    Patent number: 11157779
    Abstract: A classification engine generates, using a weighted graph, a plurality of sets of confused graphemes based on recognition data for a plurality of document images; receives an input grapheme image associated with a document image comprising a plurality of grapheme images; determines a set of recognition options for the input grapheme image, where the set of recognition options comprises a set of target characters that are similar to the input grapheme image; identifies a neural network trained to recognize a first set of confused graphemes, where the first set of confused graphemes comprises at least a portion of the set of recognition options for the input grapheme image; and determines a grapheme class for the input grapheme image using the identified neural network.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: October 26, 2021
    Assignee: ABBYY Production LLC
    Inventors: Aleksey Alekseevich Zhuravlev, Vladimir Rybkin, Konstantin Vladimirovich Anisimovich, Azat Aydarovich Davletshin
  • Character recognition using hierarchical classification
    Patent number: 10867169
    Abstract: Aspects of the disclosure provide for mechanisms for character recognition using neural networks. A method of the disclosure includes assigning, using a first-level classifier of a grapheme classifier, an input grapheme image to a first grapheme cluster of a plurality of grapheme clusters, wherein the first grapheme cluster comprises a first plurality of graphemes; selecting, by a processing device, a classifier from a plurality of second-level classifiers of the grapheme classifier based on the first grapheme cluster, wherein the selected classifier is trained to recognize the first plurality of graphemes; and processing the input grapheme image using the selected classifier to recognize at least one character in the input grapheme image.
    Type: Grant
    Filed: June 22, 2018
    Date of Patent: December 15, 2020
    Assignee: ABBYY Production LLC
    Inventor: Aleksey Alekseevich Zhuravlev
  • CHARACTER RECOGNITION USING HIERARCHICAL CLASSIFICATION
    Publication number: 20190311194
    Abstract: Aspects of the disclosure provide for mechanisms for character recognition using neural networks. A method of the disclosure includes assigning, using a first-level classifier of a grapheme classifier, an input grapheme image to a first grapheme cluster of a plurality of grapheme clusters, wherein the first grapheme cluster comprises a first plurality of graphemes; selecting, by a processing device, a classifier from a plurality of second-level classifiers of the grapheme classifier based on the first grapheme cluster, wherein the selected classifier is trained to recognize the first plurality of graphemes; and processing the input grapheme image using the selected classifier to recognize at least one character in the input grapheme image.
    Type: Application
    Filed: June 22, 2018
    Publication date: October 10, 2019
    Inventor: Aleksey Alekseevich Zhuravlev