Patents by Inventor Shane O'Hara

Shane O'Hara 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).

  • Partial Perceptual Image Hashing for Document Deconstruction
    Publication number: 20230055042
    Abstract: A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the source in a document by splitting the document into a plurality of sections and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known documents to identify the source who sent the document.
    Type: Application
    Filed: November 4, 2022
    Publication date: February 23, 2023
    Applicant: Bottomline Technologies Limited
    Inventors: Shane O'Hara, Mitchell Ransom
  • Partial perceptual image hashing for invoice deconstruction
    Patent number: 11501344
    Abstract: A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the vendor in an invoice by splitting the invoice into three regions and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known invoices to identify the vendor who sent the invoice.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: November 15, 2022
    Assignee: Bottomline Technologies Limited
    Inventors: Mitchell Ransom, Shane O'Hara
  • Partial Perceptual Image Hashing for Invoice Deconstruction
    Publication number: 20210110447
    Abstract: A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the vendor in an invoice by splitting the invoice into three regions and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known invoices to identify the vendor who sent the invoice.
    Type: Application
    Filed: October 14, 2019
    Publication date: April 15, 2021
    Applicant: Bottomline Technologies Limited
    Inventors: Mitchell Ransom, Shane O'Hara