Patents by Inventor Panagiotis Moutafis

Panagiotis Moutafis 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).

  • Publication number: 20200125709
    Abstract: A tagging system for similarity-based retrieval operations is disclosed. A biometric system configured with the tagging system according to the aspects of the present disclosure receives biometric signatures into a gallery for enrollment in system. One or more logical tags are then associated to each known biometric signature within the gallery. When a desired functionality for the biometric system is determined, a combination of logical tags that define the desired functionality are used to generate a search space. The search space includes a subset of all biometric signatures of the gallery having the corresponding combination of logical tags. The biometric system may then compare a test image probe against each of the biometric signatures of the search space.
    Type: Application
    Filed: October 4, 2019
    Publication date: April 23, 2020
    Inventors: Ricky Gentry, Panagiotis Moutafis, Rakshak Talwar
  • Patent number: 10235344
    Abstract: A rank-based score normalization framework that partitions matching scores into subsets and normalize each subset independently. Methods include implementing two versions of the framework: (i) using gallery-based information (i.e., gallery versus galleryscores), and (ii) updating available information in an online fashion. The methods improve the detection and identification rate from 20:90% up to 35:77% for Z-score and from 25:47% up to 30:29% for W-score.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: March 19, 2019
    Assignee: THE UNIVERSITY OF HOUSTON SYSTEM
    Inventors: Panagiotis Moutafis, Ioannis A. Kakadiaris
  • Publication number: 20140324391
    Abstract: A rank-based score normalization framework that partitions matching scores into subsets and normalize each subset independently. Methods include implementing two versions of the framework: (i) using gallery-based information (i.e., gallery versus galleryscores), and (ii) updating available information in an online fashion. The methods improve the detection and identification rate from 20:90% up to 35:77% for Z-score and from 25:47% up to 30:29% for W-score.
    Type: Application
    Filed: March 17, 2014
    Publication date: October 30, 2014
    Applicant: The University of Houston System
    Inventors: Panagiotis Moutafi, loannis A. Kakadiaris