Princeton Identity, Inc.

At&t Bell Laboratories

Lucent Technologies Inc.

Triquint Technology Holding Co.

Agere Systems Guardian Corp.

Agere Systems Inc.

Sri International

American Telephone & Telegraph Co., At&t Bell Laboratories

Other

At+t Corp.

Agere Systems Optoelectronics Guardian Corp.

David Alan Ackerman

Barry E Mapen

John Timothy Green

Steven N Perna

Bobby S Varma

James Russell Bergen

Timothy James Davis

Glen J Van Sant

Kevin Richards

Jongjin Kim

Michael P Fleisch

Jitendra J Bhangley

David J Wade

Mark A Clifton

Stephen J Piro

Ann-Marie Lanzillotto

James Kevin Plourde

Scott L Broutin

John Evan Johnson

Greg E Blonder

John William Stayt, Jr

Lynn Frances Schneemeyer

Jean-Michel Florent

Kenneth R Boutot

George John Przybylek

Thomas L Koch

Louis A Koszi

Michael Tinker

Robert Louis Hartman

John Michael Margicin

Leonard Jan-Peter Ketelsen

Liming Zhang

Philip J Anthony

Glen Robert Kowach

William M MacDonald

Leonard J Ketelsen

Raymond Kolczynski

Eric J Dean

Thomas Andrew Strasser

Peter Jeffrey Burt

Andrew John Stentz

Robert A Boie

John Robertson Tower

Charles D Brandle, Jr

John VanAtta Gates

Sung-Nee George Chu

Richard Bendicks Bylsma

Karsten Rottwitt

Renato M Camarda

Gooitzen Siemen Van Der Wal

William Crossley Dautremont-Smith

Venkataraman Swaminathan

Dirk Joachim Muehlner

Malcolm Ellis Lines

John W Stayt

Kenneth L Bacher

Mei Du

David V Lang

Michael Kiernan

Paul M Nitzsche

Paul W Smith

Magaly Spector

Kyle James O'Connor

Erik Myhrer

James DiNapoli

Paul DuPiano

Sean Singer

Andrew James Bohl

Andrew Mcgalliard

Christopher Robert Martin

Matthew Richard Rusnock

C Lewis Reynolds, Jr

William M Mac Donald

Chien Y Kuo

Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Method and system for seamless biometric system self-enrollment

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

Disclosed herein are methods, apparatus, and systems for iris recognition. A method for weighted spoof contact lens detection includes requesting a subject to roll or tilt head when needing access via an iris recognition device, acquiring, by the iris recognition device, iris images of a rolled head, establishing, by the iris recognition device, a horizontal axis by connecting pupils in an iris image, matching, by the iris recognition device, at least one iris in the iris image to an enrolled iris, determining, by the iris recognition device, whether the horizontal axis is within a rotational variance of an enrolled horizontal axis associated with the enrolled iris, and rejecting, by the iris recognition device, access for the subject when the horizontal axis is greater than the rotational variance of an enrolled horizontal axis.

Method and system for detection of weighted contact lenses imprinted with iris images

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

Disclosed herein are methods, apparatus, and systems for iris and periocular biometric recognition. A method for biometric recognition includes capturing one or more image frames of at least a facial portion of a user, determining an iris image portion and a periocular region image portion from the one or more image frames, performing iris encoding on a live iris image portion to generate an iris template, performing periocular region encoding on a live periocular region image portion to generate a periocular region template, performing iris matching on the iris template to generate an iris result, performing periocular region matching on the periocular region template to generate a periocular region result, and using one or more of the iris result and the periocular region result to enable the user to access an object.

Iris and periocular region biometric recognition

Exemplary embodiments are directed to a system of enhancing biometric analysis matching. A processing device is configured to analyze the probe short-range and broadband iris texture information of a probe image for iris biometric authenticity, and based on the biometric authenticity of the probe short-range iris texture information and the probe broadband iris texture information, determine the biometric authenticity of the subject. Exemplary embodiments are also directed to a system of enhancing biometric analysis matching efficiency. The processing device generates an optimized order of enrollment iris biometric data includes a listing of the enrollment iris biometric data ordered by closest match to furthest match between the probe and enrollment broadband iris texture information. The processing device analyzes the iris biometric data for biometric authenticity starting with the closest match between the probe and enrollment broadband iris texture information.

Systems and methods of enhancing biometric matching accuracy and/or efficiency

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 lack of three-dimensionality

Exemplary embodiments are directed to a biometric security system including an interface, a biometric acquisition device, and a processing device in communication with the interface and biometric acquisition device. The processing device is configured to display a challenge to a subject via the interface, and receive as input a response to the challenge from the subject. Simultaneous to receiving the response to the challenge from the subject, the processing device is configured to capture a biometric characteristic of the subject with the biometric acquisition device. The processing device is configured to analyze the received response to the challenge relative to a preset valid response, and analyze the captured biometric characteristic of the subject for biometric authenticity. The processing device is configured to verify the subject based on both a successful match between the response to the challenge and the preset valid response, and a successful finding of biometric authenticity.

Biometric security systems and methods

Systems and methods of biometric analysis to determine natural reflectivity

Systems and methods of biometric analysis to determine a live subject

Systems and methods of biometric analysis with a specularity characteristic

A method of operating a device to obtain biometric information from a subject includes the step of orienting a device relative to a subject such that a first portion of the device faces the subject, wherein a second portion of the mobile device comprises a camera, the first and second portions being different sides of the device. The method may further includes the steps of operating an optical assembly that is movably coupled to the device, the optical assembly being configured to modify an optical pathway of at least the camera in a direction of the subject and acquiring imaging data of the subject using the camera. The method may further includes the steps of analyzing the acquired imaging data to generate biometric information corresponding to the subject and generating a report using the biometric information.

System and method for mobile device biometric add-on

Systems and methods of biometric analysis with a spectral discriminator

Growing community of inventors

Hopewell, NJ, United States of America

David Alan Ackerman