Patents by Inventor Andrei A. GAIVORONSKI

Andrei A. GAIVORONSKI 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).

  • Publication number: 20240371190
    Abstract: The disclosure herein describes providing signature data of an input document. Text data of the input document is obtained (e.g., OCR data generated from image data) and a first set of signature fields are identified using signature key-value pairs of the text data. A first subset of signed signature fields and a first subset of unsigned signature fields are determined based on mapping to a set of predicted values. A second set of signature fields are determined using a region prediction model applied to image data of the input document. Region images associated with the first subset of unsigned signature fields and with second set of signature fields are obtained and a second set of signed signature fields and a second set of unsigned signature fields are determined using a signature recognition model. Signature output data is provided including signed signature fields and/or unsigned signature fields.
    Type: Application
    Filed: July 1, 2024
    Publication date: November 7, 2024
    Inventors: Yijuan LU, Lynsey LIU, Andrei A. GAIVORONSKI, Yu CHENG, Dinei Afonso Ferreira FLORENCIO, Cha ZHANG, John Richard CORRING
  • Patent number: 12051256
    Abstract: The disclosure herein describes providing signature data of an input document. Text data of the input document is obtained (e.g., OCR data generated from image data) and a first set of signature fields are identified using signature key-value pairs of the text data. A first subset of signed signature fields and a first subset of unsigned signature fields are determined based on mapping to a set of predicted values. A second set of signature fields are determined using a region prediction model applied to image data of the input document. Region images associated with the first subset of unsigned signature fields and with second set of signature fields are obtained and a second set of signed signature fields and a second set of unsigned signature fields are determined using a signature recognition model. Signature output data is provided including signed signature fields and/or unsigned signature fields.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: July 30, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yijuan Lu, Lynsey Liu, Andrei A. Gaivoronski, Yu Cheng, Dinei Afonso Ferreira Florencio, Cha Zhang, John Richard Corring
  • Publication number: 20230084845
    Abstract: The disclosure herein describes providing signature data of an input document. Text data of the input document is obtained (e.g., OCR data generated from image data) and a first set of signature fields are identified using signature key-value pairs of the text data. A first subset of signed signature fields and a first subset of unsigned signature fields are determined based on mapping to a set of predicted values. A second set of signature fields are determined using a region prediction model applied to image data of the input document. Region images associated with the first subset of unsigned signature fields and with second set of signature fields are obtained and a second set of signed signature fields and a second set of unsigned signature fields are determined using a signature recognition model. Signature output data is provided including signed signature fields and/or unsigned signature fields.
    Type: Application
    Filed: September 13, 2021
    Publication date: March 16, 2023
    Inventors: Yijuan LU, Lynsey LIU, Andrei A. GAIVORONSKI, Yu CHENG, Dinei Afonso Ferreira FLORENCIO, Cha ZHANG, John Richard CORRING