Patents by Inventor Armen Kherlopian

Armen Kherlopian 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).

  • SYSTEMS AND METHODS FOR FORM RECOGNITION USING VISUAL SIGNATURES
    Publication number: 20220157071
    Abstract: Systems and methods for form recognition using visual signatures are disclosed. According to one embodiment, a first form of a first document defined by a first plurality of grids and a second form of a second document defined by a second plurality of grids are received. A determination is made as to whether the first form is similar to the second form by computing a pairwise difference between a first grid of the first plurality of grids with a second grid of the second plurality of grids.
    Type: Application
    Filed: February 8, 2022
    Publication date: May 19, 2022
    Inventors: Pankaj Rawat, Jyoti Gupta, Armen Kherlopian, Jagjeet Singh
  • Systems and methods for segmentation of report corpus using visual signatures
    Patent number: 11275933
    Abstract: Systems and methods for segmentation of report corpus using visual signatures are disclosed. According to one embodiment, a computer-implemented method comprises converting a document to a grayscale image and removing noise from the grayscale image by eroding isolated pixels. Connected regions in the grayscale image are determined and a region of the grayscale image having a square shape is identified. An area of the region is computed and if the area is larger than a threshold, determining that the document contains a form.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: March 15, 2022
    Inventors: Pankaj Rawat, Jyoti Gupta, Armen Kherlopian, Jagjeet Singh
  • Systems and Methods for Segmentation of Report Corpus Using Visual Signatures
    Publication number: 20200302164
    Abstract: Systems and methods for segmentation of report corpus using visual signatures are disclosed. According to one embodiment, a computer-implemented method comprises converting a document to a grayscale image and removing noise from the grayscale image by eroding isolated pixels. Connected regions in the grayscale image are determined and a region of the grayscale image having a square shape is identified. An area of the region is computed and if the area is larger than a threshold, determining that the document contains a form.
    Type: Application
    Filed: June 25, 2019
    Publication date: September 24, 2020
    Applicant: Genpact Luxembourg S.à r.l
    Inventors: Pankaj Rawat, Jyoti Gupta, Armen Kherlopian, Jagjeet Singh