Patents Assigned to TAB2EX, LLC
  • Patent number: 10726252
    Abstract: Using a convolutional neural network, a method for digitizing and extracting meaning from graphic objects such as bar and pie charts, decomposes a chart into its sub-parts (pie and slices or bars, axes and legends) with significant tolerance to the wide range of variations in shape and relative position of pies, bars, axes and legends. A linear regression calibration allows properly reading values even when there are many OCR failures.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: July 28, 2020
    Assignee: Tab2ex LLC
    Inventors: Paolo Messina, Vincenzo Del Zoppo, Salvatore Messina, Danilo Giuffrida
  • Publication number: 20180336405
    Abstract: Using a convolutional neural network, a method for digitizing and extracting meaning from graphic objects such as bar and pie charts, decomposes a chart into its sub-parts (pie and slices or bars, axes and legends) with significant tolerance to the wide range of variations in shape and relative position of pies, bars, axes and legends. A linear regression calibration allows properly reading values even when there are many OCR failures.
    Type: Application
    Filed: May 17, 2018
    Publication date: November 22, 2018
    Applicant: TAB2EX, LLC
    Inventors: Paolo Messina, Vincenzo Del Zoppo, Salvatore Messina, Danilo Giuffrida