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Project Information

SATC: CORE: MEDIUM: COLLABORATIVE: PRESENTATION-ATTACK-ROBUST BIOMETRICS SYSTEMS VIA COMPUTATIONAL IMAGING OF PHYSIOLOGY AND MATERIALS

Agency:
NSF

National Science Foundation

Project Number:
1801435
Contact PI / Project Leader:
PATEL, VISHAL M
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
Many physical characteristics, such as face, fingerprints, and iris as well as behavioral characteristics such as voice, gait, and keystroke dynamics, are believed to be unique to an individual. Hence, biometric analysis offers a reliable solution to the problem of identity verification. It is now widely acknowledged that biometric systems are vulnerable to manipulation where the true biometric is falsified using various attack strategies; such attacks are referred to as Presentation Attacks (PAs). This project develops computational imaging-based methods for detecting known and unknown PAs for face and iris biometric systems.While biometrics has been an active field of research for more than three decades, the design of biometric systems that are robust to a diverse set of known and unknown PAs is still in its infancy. This project seeks to build biometric systems that integrate computational imaging sensors for acquiring physiological, spectral, and material properties with the goal of detecting and mitigating the effects of known and unknown PA attacks. Specifically, as part of the project novel computational cameras will be built that augment traditional sensors used for face and iris recognition by adding subsystems that measure changes in a subject's physiology including vital signs, blood perfusion, voluntary and involuntary responses to external stimuli as well as composition as measured in scattering, reflectance and spectral profiles. The rich signatures sensed by these computational cameras is expected to provide a robust characterization of the true biometric and its variations while providing high discriminability to commonly used PAs. Further, by virtue of outlier detection and open-set modeling, this project develops a highly flexible approach for detecting previously unseen PAs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Project Terms:
Award; Behavioral; Biometry; blood perfusion; Characteristics; design; Detection; Evaluation; Face; Fingerprint; flexibility; Foundations; Gait; Goals; Image; imaging modality; Individual; infancy; Iris; Measures; Mission; Modeling; Names; novel; Physiological; Physiology; Property; Research; response; sensor; Stimulus; System; Variant; Voice

Details

Contact PI / Project Leader Information:
Name:  PATEL, VISHAL M
Other PI Information:
Not Applicable
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  PISCATAWAY    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2018
Award Notice Date: 06-Sep-2018
DUNS Number: 001912864
Project Start Date: 01-Oct-2018
Budget Start Date:
CFDA Code: 47.070
Project End Date: 30-Sep-2021
Budget End Date:
Agency: ?

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National Science Foundation
Project Funding Information for 2018:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2018 NSF

National Science Foundation

$300,002

Results

i

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