Patents by Inventor Srinivasan Ponpathirkoottam Raghavan

Srinivasan Ponpathirkoottam Raghavan 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: 11501549
    Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: November 15, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sawani Bade, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran
  • Publication number: 20210357633
    Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.
    Type: Application
    Filed: June 30, 2020
    Publication date: November 18, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sawani BADE, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran