The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 13, 2021
Filed:
Aug. 03, 2018
Ronnie Douglas Douthit, Frisco, TX (US);
Deepankar Mohapatra, The Colony, TX (US);
Ram Mohan Shamanna, Frisco, TX (US);
Chiranjeev Jagannadha Reddy, Frisco, TX (US);
Yexin Huang, Plano, TX (US);
Trichur Shivaramakrishnan Subramanian, McKinney, TX (US);
Chinnadurai Duraisami, Plano, TX (US);
Karpaga Ganesh Patchirajan, Plano, TX (US);
Amar J. Mattey, Frisco, TX (US);
Ronnie Douglas Douthit, Frisco, TX (US);
Deepankar Mohapatra, The Colony, TX (US);
Ram Mohan Shamanna, Frisco, TX (US);
Chiranjeev Jagannadha Reddy, Frisco, TX (US);
Yexin Huang, Plano, TX (US);
Trichur Shivaramakrishnan Subramanian, McKinney, TX (US);
Chinnadurai Duraisami, Plano, TX (US);
Karpaga Ganesh Patchirajan, Plano, TX (US);
Amar J. Mattey, Frisco, TX (US);
Intuit Inc., Mountain View, CA (US);
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.