Patents by Inventor Hans Tananda

Hans Tananda 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).

  • Automatic document processing
    Patent number: 11455713
    Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: September 27, 2022
    Assignee: PayPal, Inc.
    Inventors: Quan Jin Ferdinand Tang, Jiyi Zhang, Xiaodong Yu, Shek Hei Wong, Long Phi Huynh, Quan Anh Nguyen, Hans Tananda, Kai Xie
  • AUTOMATIC DOCUMENT PROCESSING
    Publication number: 20210350516
    Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.
    Type: Application
    Filed: May 8, 2020
    Publication date: November 11, 2021
    Inventors: Quan Jin Ferdinand Tang, Jiyi Zhang, Xiaodong Yu, Shek Hei Wong, Long Phi Huynh, Quan Anh Nguyen, Hans Tananda, Kai Xie