Patents by Inventor Michael D. Garris

Michael D. Garris 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: 9507993
    Abstract: A contactless, three-dimensional fingerprint scanner apparatus, method, and system are described. The contactless fingerprint scanner can provide either, or both, topographical contrast of three-dimensional fingerprint features and optical contrast of a three-dimensional fingerprint surface. Data captured from scanning of a target with known geometric features mimicking fingerprint features can be examined as images or surface plots and analyzed for fidelity against the known target feature specifications to evaluate or validate device capture performance as well as interoperability. The target can be used by scanner vendors and designers to validate their devices, as well as to perform type certification.
    Type: Grant
    Filed: January 14, 2016
    Date of Patent: November 29, 2016
    Assignee: The United States of America, as represented by the Secretary of Commerce, The National Institute of Standards and Technology
    Inventors: Shahram Orandi, Fred Byers, Stephen Harvey, Michael D. Garris, Stephen S. Wood, John M. Libert, Jin Chu Wu
  • Publication number: 20160203355
    Abstract: A contactless, three-dimensional fingerprint scanner apparatus, method, and system are described. The contactless fingerprint scanner can provide either, or both, topographical contrast of three-dimensional fingerprint features and optical contrast of a three-dimensional fingerprint surface. Data captured from scanning of a target with known geometric features mimicking fingerprint features can be examined as images or surface plots and analyzed for fidelity against the known target feature specifications to evaluate or validate device capture performance as well as interoperability. The target can be used by scanner vendors and designers to validate their devices, as well as to perform type certification.
    Type: Application
    Filed: January 14, 2016
    Publication date: July 14, 2016
    Applicant: Govt. of the U.S.A. as represented by the Sec. of Commerce, The National Institute of Standards and
    Inventors: Shahram Orandi, Fred Byers, Stephen Harvey, Michael D. Garris, Stephen S. Wood, John M. Libert, Jin Chu Wu
  • Patent number: 9349033
    Abstract: A contactless, three-dimensional fingerprint scanner apparatus, method, and system are described. The contactless fingerprint scanner can provide either, or both, topographical contrast of three-dimensional fingerprint features and optical contrast of a three-dimensional fingerprint surface. Data captured from scanning of a target with known geometric features mimicking fingerprint features can be examined as images or surface plots and analyzed for fidelity against the known target feature specifications to evaluate or validate device capture performance as well as interoperability. The target can be used by scanner vendors and designers to validate their devices, as well as to perform type certification.
    Type: Grant
    Filed: September 21, 2012
    Date of Patent: May 24, 2016
    Assignee: The United States of America, as represented by the Secretary of Commerce, The National Institute of Standards and Technology
    Inventors: Shahram Orandi, Fred Byers, Stephen Harvey, Michael D. Garris, Stephen S. Wood, John M. Libert, Jin Chu Wu
  • Publication number: 20130070977
    Abstract: A contactless, three-dimensional fingerprint scanner apparatus, method, and system are described. The contactless fingerprint scanner can provide either, or both, topographical contrast of three-dimensional fingerprint features and optical contrast of a three-dimensional fingerprint surface. Data captured from scanning of a target with known geometric features mimicking fingerprint features can be examined as images or surface plots and analyzed for fidelity against the known target feature specifications to evaluate or validate device capture performance as well as interoperability. The target can be used by scanner vendors and designers to validate their devices, as well as to perform type certification.
    Type: Application
    Filed: September 21, 2012
    Publication date: March 21, 2013
    Inventors: Shahram Orandi, Fred Byers, Stephen Harvey, Michael D. Garris, Stephen S. Wood, John M. Libert, Jin Chu Wu
  • Patent number: 5245672
    Abstract: The system of the present invention applies self-organizing and/or supervd learning network methods to the problem of segmentation. The segmenter receives a visual field, implemented as a sliding window and distinguishes occurrences of complete characters from occurrences of parts of neighboring characters. Images of isolated whole characters are true objects and the opposite of true objects are anti-objects, centered on the space between two characters. The window is moved across a line of text producing a sequence of images and the segmentation system distinguishes true objects from anti-objects. Frames classified as anti-objects demarcate character boundaries, and frames classified as true objects represent detected character images. The system of the present invention may be a feedforward adaption using a symmetric triggering network. Inputs to the network are applied directly to the separate associative memories of the network.
    Type: Grant
    Filed: March 9, 1992
    Date of Patent: September 14, 1993
    Assignee: The United States of America as represented by the Secretary of Commerce
    Inventors: Charles L. Wilson, Michael D. Garris, Robert A. Wilkinson, Jr.