Patents by Inventor Mohammed O. Assayony

Mohammed O. Assayony 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: 10176391
    Abstract: A system, a non-transitory computer readable medium, and a method for Arabic handwriting recognition are provided. The method includes acquiring an input image representative of a handwritten Arabic text from a user, partitioning the input image into a plurality of regions, determining a bag of features representation for each region of the plurality of regions, modeling each region independently by multi stream discrete Hidden Markov Model (HMM), and identifying a text based on the HMM models.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: January 8, 2019
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sabri A. Mahmoud, Mohammed O. Assayony
  • Patent number: 10163019
    Abstract: A system, a non-transitory computer readable medium, and a method for Arabic handwriting recognition are provided. The method includes acquiring an input image representative of a handwritten Arabic text from a user, partitioning the input image into a plurality of regions, determining a bag of features representation for each region of the plurality of regions, modeling each region independently by multi stream discrete Hidden Markov Model (HMM), and identifying a text based on the HMM models.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: December 25, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sabri A. Mahmoud, Mohammed O. Assayony
  • Patent number: 10055660
    Abstract: A system, a non-transitory computer readable medium, and a method for Arabic handwriting recognition are provided. The method includes acquiring an input image representative of a handwritten Arabic text from a user, partitioning the input image into a plurality of regions, determining a bag of features representation for each region of the plurality of regions, modeling each region independently by multi stream discrete Hidden Markov Model (HMM), and identifying a text based on the HMM models.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: August 21, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sabri A. Mahmoud, Mohammed O. Assayony
  • Patent number: 10002301
    Abstract: A system, a non-transitory computer readable medium, and a method for Arabic handwriting recognition are provided. The method includes acquiring an input image representative of a handwritten Arabic text from a user, partitioning the input image into a plurality of regions, determining a bag of features representation for each region of the plurality of regions, modeling each region independently by multi stream discrete Hidden Markov Model (HMM), and identifying a text based on the HMM models.
    Type: Grant
    Filed: September 19, 2017
    Date of Patent: June 19, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sabri A. Mahmoud, Mohammed O. Assayony