Patents by Inventor Abdulmalik Ali Aldawsari

Abdulmalik Ali Aldawsari 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: 11928847
    Abstract: Provided are computer-implemented technologies of authenticating documents. The technologies use a set of photo images (or videos), taken under a certain illumination condition and from a set of distinct tilting angles, on one or more security/ID features of one or more documents of a document genre whose authenticity is ascertained, to train an Artificial Intelligence (AI) machine learning program to build a learned model. The learned model, through the said training, attains a set of angular responses of the document genre under the illumination condition which encode a set of descriptive information about each of the one or more security/ID features of the document genre under the illumination condition. The learned model, then, is applied to authenticate, one by one, a number of target documents of the document genre whose authenticity is unknown and to be determined.
    Type: Grant
    Filed: April 8, 2022
    Date of Patent: March 12, 2024
    Assignee: ELM COMPANY
    Inventors: Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi
  • Publication number: 20230143239
    Abstract: Provided are computer-implemented technologies of authenticating documents. The technologies use a set of photo images (or videos), taken under a certain illumination condition and from a set of distinct tilting angles, on one or more security/ID features of one or more documents of a document genre whose authenticity is ascertained, to train an Artificial Intelligence (AI) machine learning program to build a learned model. The learned model, through the said training, attains a set of angular responses of the document genre under the illumination condition which encode a set of descriptive information about each of the one or more security/ID features of the document genre under the illumination condition. The learned model, then, is applied to authenticate, one by one, a number of target documents of the document genre whose authenticity is unknown and to be determined.
    Type: Application
    Filed: April 8, 2022
    Publication date: May 11, 2023
    Inventors: Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi