Patents by Inventor David D. Dunlap

David D. Dunlap 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: 10438053
    Abstract: An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method includes creating a face sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features of entries in the sample database, calculating positive samples by calculating a feature absolute value distance for a same position of any two different images from one person, calculating negative samples by calculating a feature absolute value distance for a same position of different people, calculating a key bin feature using a learning algorithm, calculating a classifier from the key bin feature for use in identifying and authenticating an acquired face image of a person-to-be-identified and identifying and authenticating the person-to-be-identified using the classifier and the acquired face image of the person-to-be-identified.
    Type: Grant
    Filed: July 13, 2017
    Date of Patent: October 8, 2019
    Assignee: STONE LOCK GLOBAL, INC.
    Inventors: David D. Dunlap, Yulun Hu
  • Publication number: 20170308740
    Abstract: An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method includes creating a face sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features of entries in the sample database, calculating positive samples by calculating a feature absolute value distance for a same position of any two different images from one person, calculating negative samples by calculating a feature absolute value distance for a same position of different people, calculating a key bin feature using a learning algorithm, calculating a classifier from the key bin feature for use in identifying and authenticating an acquired face image of a person-to-be-identified and identifying and authenticating the person-to-be-identified using the classifier and the acquired face image of the person-to-be-identified.
    Type: Application
    Filed: July 13, 2017
    Publication date: October 26, 2017
    Inventors: David D. DUNLAP, Yulun HU
  • Patent number: 9740917
    Abstract: An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method comprises creating a sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features from entries in the sample database, calculating positive samples and negative sampled based on entries in the feature database, calculating a key bin feature using an adaptive boosting learning algorithm, the key bin feature distinguishing each of the positive samples and negative samples, and calculating a classifier from the key bin feature for use in identifying and authenticating a person-to-be-identified.
    Type: Grant
    Filed: September 9, 2013
    Date of Patent: August 22, 2017
    Assignee: STONE LOCK GLOBAL, INC.
    Inventors: David D. Dunlap, Yulun Hu
  • Publication number: 20140072185
    Abstract: An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method comprises creating a sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features from entries in the sample database, calculating positive samples and negative sampled based on entries in the feature database, calculating a key bin feature using an adaptive boosting learning algorithm, the key bin feature distinguishing each of the positive samples and negative samples, and calculating a classifier from the key bin feature for use in identifying and authenticating a person-to-be-identified.
    Type: Application
    Filed: September 9, 2013
    Publication date: March 13, 2014
    Inventors: David D. Dunlap, Yulun Hu