Patents by Inventor Majed Ibrahim Bin Osfoor

Majed Ibrahim Bin Osfoor 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).

  • System and methods for arabic text recognition and arabic corpus building
    Patent number: 8761500
    Abstract: A method for automatically recognizing Arabic text includes building an Arabic corpus comprising Arabic text files written in different writing styles and ground truths corresponding to each of the Arabic text files, storing writing-style indices in association with the Arabic text files, digitizing a line of Arabic characters to form an array of pixels, dividing the line of the Arabic characters into line images, forming a text feature vector from the line images, training a Hidden Markov Model using the Arabic text files and ground truths in the Arabic corpus in accordance with the writing-style indices, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters.
    Type: Grant
    Filed: May 12, 2013
    Date of Patent: June 24, 2014
    Assignee: King Abdulaziz City for Science and Technology
    Inventors: Mohammad S. Khorsheed, Hussein K. Al-Omari, Majed Ibrahim Bin Osfoor, Adbulaziz Obaid Alobaid, Hussam Abdulrahman Alfaleh, Arwa Ibrahem Bin Asfour
  • SYSTEM AND METHODS FOR ARABIC TEXT RECOGNITION AND ARABIC CORPUS BUILDING
    Publication number: 20130251247
    Abstract: A method for automatically recognizing Arabic text includes building an Arabic corpus comprising Arabic text files written in different writing styles and ground truths corresponding to each of the Arabic text files, storing writing-style indices in association with the Arabic text files, digitizing a line of Arabic characters to form an array of pixels, dividing the line of the Arabic characters into line images, forming a text feature vector from the line images, training a Hidden Markov Model using the Arabic text files and ground truths in the Arabic corpus in accordance with the writing-style indices, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters.
    Type: Application
    Filed: May 12, 2013
    Publication date: September 26, 2013
    Applicant: King Abdulaziz City for Science & Technology
    Inventors: Mohammad S. Khorsheed, Hussein K. Al-Omari, Majed Ibrahim Bin Osfoor, Abdulaziz Obaid Alobaid, Hussam Abdulrahman Alfaleh, Arwa Ibrahem Bin Asfour