Patents by Inventor Sruthi Sangala

Sruthi Sangala 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).

  • Patent number: 11663817
    Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.
    Type: Grant
    Filed: July 15, 2021
    Date of Patent: May 30, 2023
    Assignee: MORGAN STANLEY SERVICES GROUP INC.
    Inventors: Sruthi Sangala, Titash Mandal, Sonil Trivedi, Sujit Eapen
  • Publication number: 20210342571
    Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.
    Type: Application
    Filed: July 15, 2021
    Publication date: November 4, 2021
    Applicant: MORGAN STANLEY SERVICES GROUP INC.
    Inventors: Sruthi Sangala, Titash Mandal, Sonil Trivedi, Sujit Eapen
  • Patent number: 11106891
    Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; remove a subset of words from the digital image identified via OCR; determine a plurality of regions of connected markings that remain in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine that a region contains a handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: August 31, 2021
    Assignee: MORGAN STANLEY SERVICES GROUP INC.
    Inventors: Sruthi Sangala, Titash Mandal, Sonil Trivedi, Sujit Eapen
  • Publication number: 20210073514
    Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; remove a subset of words from the digital image identified via OCR; determine a plurality of regions of connected markings that remain in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine that a region contains a handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.
    Type: Application
    Filed: September 9, 2019
    Publication date: March 11, 2021
    Applicant: MORGAN STANLEY SERVICES GROUP INC.
    Inventors: Sruthi Sangala, Titash Mandal, Sonil Trivedi, Sujit Eapen