Princeton Identity, Inc.

USA As Represented by Secretary of the Navy

John Timothy Green

David Alan Ackerman

Barry E Mapen

Kevin Richards

Timothy James Davis

Steven N Perna

Glen J Van Sant

Bobby S Varma

Jongjin Kim

Stephen J Piro

Ann-Marie Lanzillotto

David J Wade

Michael P Fleisch

Mark A Clifton

Jitendra J Bhangley

Jean-Michel Florent

James Russell Bergen

Thomas R Stottlemyer

John Michael Margicin

John Amedeo Santini, Jr

Matthew Richard Rusnock

Christopher S Curtis

Gregory T Wasik

Disclosed herein are methods, apparatus, and systems for iris recognition. A method includes acquiring at least two angularly differentiated iris images from a subject needing access, processing each of the at least two angularly differentiated iris images to generate at least one boundary delineated image from one of the at least two angularly differentiated iris images, applying image comparative analysis to the at least two angularly differentiated iris images to generate a boundary delineated image when the processing fails to produce the at least one boundary delineated image, segmenting and encoding one of the at least one boundary delineated image or the boundary delineated image to generate at least one iris template, matching the at least one iris template against an enrolled iris, and accepting the subject for access processing when the at least one iris template matches the enrolled iris.

Compact system and method for iris recognition

Exemplary embodiments are directed to a multi-modal biometric analysis system including one or more illumination sources, one or more cameras, and a processing device. The illumination sources are configured to illuminate an iris of a subject. The cameras are configured to capture one or more images of the subject during illumination of the subject with the one or more illumination sources. The images include iris biometric data associated with the iris of the subject and face biometric data associated with a face of the subject. The processing device receives as input the one or more images, analyzes the iris biometric data for iris biometric authenticity, analyzes the face biometric data for face biometric authenticity, and compares the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.

Systems and methods of multi-modal biometric analysis

Exemplary embodiments are directed to biometric analysis systems generally including one or more illumination sources, a camera, and an analysis module. The illumination sources are configured to illuminate at least a portion of a face of a subject. The camera is configured to capture one or more images of the subject during illumination of the face of the subject. The analysis module is configured to analyze the one or more images captured by the camera to determine an indication of liveliness of the subject and prevent spoofing.

Systems and methods of biometric analysis to determine natural reflectivity

Systems and methods of biometric analysis to determine a live subject

Embodiments of a Z-dimension user-feedback biometric system are provided. In some embodiments, a camera captures subject images positioned along a plurality of Z-dimension positions, including a normal subject image for a mid-range of a capture volume and one or both of the following: (a) a close subject image for a front of the capture volume and (b) a far subject image for a back of the capture volume. In some embodiments, a processing element can be configured to create a normal display image, as well as a close display image (with a first exaggerated quality) and/or a far display image (with a second exaggerated quality). In some embodiments, the first exaggerated quality can be a positive exaggeration of a quality and the second exaggerated quality can be a negative exaggeration of the quality.

Z-dimension user feedback biometric system

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if the digital and reference iris images match, transition an object from a locked to an unlocked state to allow access to the object.

Validation of the right to access an object

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if at least a portion of the digital and reference iris images match, authenticating a person as authorized to conduct a financial transaction.

Authorization of a financial transaction

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., identity purposes by querying a database for data related to an identified person, comparing the data with a plurality of content, and, in response to a determination that the data matches at least one piece of the plurality of content, display the plurality of content specific to the person on a display device.

Collecting and targeting marketing data and information based upon iris identification

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Iris biometric recognition module and access control assembly

An improved time-interpolation method for digital time-domain beamformers provided. The method determines an input channel value at a known fractional delay as a two-stage process. In a first stage, input channel parameters common to all beams and independent of the known fractional delay are determined. In a second stage, the input channel parameters are weighted and summed for each beam to determine the input channel value at the known fractional delay. Weighting of the parameters is based upon the known fractional delay and the frequency band of interest.

Time-interpolation method for digital beamformers

A system for measuring the speed in water of an underwater towed array has towbody connected in close proximity to the array by means of a rope drogue. The towbody has a freely turning propeller that turns a shaft that has a rotor magnet. Magnetic pulses from the rotor magnet are converted first to an electrical and then to an acoustical signal. The acoustical signal from the towbody is received by the towed array and converted back to an electrical signal that is transmitted along a line to a ship that is towing the array. The ship then displays the detected speed and/or utilizes the information received for control purposes.

Growing community of inventors

Lisbon, CT, United States of America

John Timothy Green