Patents by Inventor Hamid Reza MOTAHARI-NEZAD

Hamid Reza MOTAHARI-NEZAD 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).

  • APPARATUS AND METHODS FOR CONVERTING LINELESS TALBES INTO LINED TABLES USING GENERATIVE ADVERSARIAL NETWORKS
    Publication number: 20240161449
    Abstract: A method for converting a lineless table into a lined table includes associating a first set of tables with a second set of tables to form a set of multiple table pairs that includes tables with lines and tables without lines. A conditional generative adversarial network (cGAN) is trained, using the table pairs, to produce a trained cGAN. Using the trained cGAN, lines are identified for overlaying onto a lineless table. The lines are overlaid onto the lineless table to produce a lined table.
    Type: Application
    Filed: January 23, 2024
    Publication date: May 16, 2024
    Inventors: Mehrdad Jabbarzadeh GANGEH, Hamid Reza MOTAHARI NEZAD
  • Apparatus and methods for converting lineless tables into lined tables using generative adversarial networks
    Patent number: 11915465
    Abstract: A method for converting a lineless table into a lined table includes associating a first set of tables with a second set of tables to form a set of multiple table pairs that includes tables with lines and tables without lines. A conditional generative adversarial network (cGAN) is trained, using the table pairs, to produce a trained cGAN. Using the trained cGAN, lines are identified for overlaying onto a lineless table. The lines are overlaid onto the lineless table to produce a lined table.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: February 27, 2024
    Inventors: Mehrdad Jabbarzadeh Gangeh, Hamid Reza Motahari-Nezad
  • Methods and apparatus for end-to-end document image quality assessment using machine learning without having ground truth for characters
    Patent number: 11763581
    Abstract: Methods and apparatus for end-to-end document image quality assessment without having ground truth for characters. An image quality assessment device integrates end-to-end machine learning without using ground truth to automatically predict an overall quality scores for images of documents. The image quality assessment device augments the size of individual image patches extracted from the images based on the contents and size of the images to maintain sufficient size of training data without compromising the reliability of the predicted scores for the images.
    Type: Grant
    Filed: October 17, 2022
    Date of Patent: September 19, 2023
    Assignee: EYGS LLP
    Inventors: Mehrdad Jabbarzadeh Gangeh, Hamid Reza Motahari Nezad
  • APPARATUS AND METHODS FOR CONVERTING LINELESS TABLES INTO LINED TABLES USING GENERATIVE ADVERSARIAL NETWORKS
    Publication number: 20210056429
    Abstract: A method for converting a lineless table into a lined table includes associating a first set of tables with a second set of tables to form a set of multiple table pairs that includes tables with lines and tables without lines. A conditional generative adversarial network (cGAN) is trained, using the table pairs, to produce a trained cGAN. Using the trained cGAN, lines are identified for overlaying onto a lineless table. The lines are overlaid onto the lineless table to produce a lined table.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Inventors: Mehrdad Jabbarzadeh GANGEH, Hamid Reza MOTAHARI-NEZAD