Patents by Inventor Ahmed Aldhahab

Ahmed Aldhahab 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).

  • Supervised facial recognition system and method
    Patent number: 10192142
    Abstract: A computer executed method for supervised facial recognition comprising the operations of preprocessing, feature extraction and recognition. Preprocessing may comprise dividing received face images into several subimages, converting the different face image (or subimage) dimensions into a common dimension and/or converting the datatypes of all of the face images (or subimages) into an appropriate datatype. In feature extraction, 2D DMWT is used to extract information from the face images. Application of the 2D DMWT may be followed by FastICA. FastICA, or, in cases where FastICA is not used, 2D DMWT, may be followed by application of the l2-norm and/or eigendecomposition to obtain discriminating and independent features. The resulting independent features are fed into the recognition phase, which may use a neural network, to identify an unknown face image.
    Type: Grant
    Filed: July 7, 2016
    Date of Patent: January 29, 2019
    Assignee: University of Central Florida Research Foundation, Inc.
    Inventors: Wasfy Mikhael, Ahmed Aldhahab
  • SUPERVISED FACIAL RECOGNITION SYSTEM AND METHOD
    Publication number: 20170011257
    Abstract: A computer executed method for supervised facial recognition comprising the operations of preprocessing, feature extraction and recognition. Preprocessing may comprise dividing received face images into several subimages, converting the different face image (or subimage) dimensions into a common dimension and/or converting the datatypes of all of the face images (or subimages) into an appropriate datatype. In feature extraction, 2D DMWT is used to extract information from the face images. Application of the 2D DMWT may be followed by FastICA. FastICA, or, in cases where FastICA is not used, 2D DMWT, may be followed by application of the l2-norm and/or eigendecomposition to obtain discriminating and independent features. The resulting independent features are fed into the recognition phase, which may use a neural network, to identify an unknown face image.
    Type: Application
    Filed: July 7, 2016
    Publication date: January 12, 2017
    Applicant: University of Central Florida Research Foundation, Inc.
    Inventors: Wasfy Mikhael, Ahmed Aldhahab