Patents by Inventor Chinnadurai Duraisami

Chinnadurai Duraisami 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).

  • Automated document extraction and classification
    Patent number: 10977291
    Abstract: A method including receiving a source file containing a plurality of documents which, to a computer, initially are indistinguishable from each other. A first classification stage is applied to the source file using a convolutional neural network image classification to identify source documents in the multitude of documents and to produce a partially parsed file having a multitude of identified source documents. The partially parsed file includes sub-images corresponding to the plurality of identified source documents. A second classification stage, including a natural language processing artificial intelligence, is applied to sets of text in bounding boxes of the sub-images, to classify each of the multitude of identified source documents as a corresponding sub-type of document. Each of the sets of text corresponding to one of the sub-images. A parsed file having a multitude of identified sub-types of documents is produced. The parsed file is further computer processed.
    Type: Grant
    Filed: August 3, 2018
    Date of Patent: April 13, 2021
    Assignee: Intuit Inc.
    Inventors: Ronnie Douglas Douthit, Deepankar Mohapatra, Ram Mohan Shamanna, Chiranjeev Jagannadha Reddy, Yexin Huang, Trichur Shivaramakrishnan Subramanian, Chinnadurai Duraisami, Karpaga Ganesh Patchirajan, Amar J. Mattey
  • AUTOMATED DOCUMENT EXTRACTION AND CLASSIFICATION
    Publication number: 20200042645
    Abstract: A method including receiving a source file containing a plurality of documents which, to a computer, initially are indistinguishable from each other. A first classification stage is applied to the source file using a convolutional neural network image classification to identify source documents in the multitude of documents and to produce a partially parsed file having a multitude of identified source documents. The partially parsed file includes sub-images corresponding to the plurality of identified source documents. A second classification stage, including a natural language processing artificial intelligence, is applied to sets of text in bounding boxes of the sub-images, to classify each of the multitude of identified source documents as a corresponding sub-type of document. Each of the sets of text corresponding to one of the sub-images. A parsed file having a multitude of identified sub-types of documents is produced. The parsed file is further computer processed.
    Type: Application
    Filed: August 3, 2018
    Publication date: February 6, 2020
    Applicant: Intuit Inc.
    Inventors: Ronnie Douglas Douthit, Deepankar Mohapatra, Ram Mohan Shamanna, Chiranjeev Jagannadha Reddy, Yexin Huang, Trichur Shivaramakrishnan Subramanian, Chinnadurai Duraisami, Karpaga Ganesh Patchirajan, Amar J. Mattey