Award Abstract #0520990
MRI:Acquisition of Instrumentation for Biometric Authentication Research: Collaborative Research

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	August 1, 2005
Latest Amendment Date:	August 1, 2005
Award Number:	0520990
Award Instrument:	Standard Grant
Program Manager:	Rita V. Rodriguez CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	August 1, 2005
Expires:	July 31, 2009 (Estimated)
Awarded Amount to Date:	$51670
Investigator(s):	Michael Schuckers schuckers@stlawu.edu (Principal Investigator)
Sponsor:	Saint Lawrence University 23 Romoda Drive Canton, NY 13617 315/229-5571
NSF Program(s):	MAJOR RESEARCH INSTRUMENTATION
Field Application(s):	0000912 Computer Science
Program Reference Code(s):	HPCC, 9218, 9135
Program Element Code(s):	1189

ABSTRACT

This collaborative project with WVU (05-21034, Ross), supporting research in biometric authentication for identity assurance, complements ongoing work as part of an NSF-ITR grant that is cooperatively funded by the US Department of Homeland Security. The research develops new biometric authentication technologies and involves five tasks:

-Improvement of facial recognition that requires a 3D digitizer,

-Investigation of large-scale distributed systems that requires powerful servers and PCs;

-Simulation of matching performance for system scaling that requires powerful computers;

-Investigation of saccades as biometrics that requires Dual-Image eye-trackers; and

-Exploration of multi-spectral iris imaging that requires a multi-spectral camera.

The work, developing new techniques for distributed biometric systems as well as performing experiments with scaling up large biometric databases, aims at improving the acceptance of biometrics for trusted and ubiquitous computing. By rendering a decision about a user's identity from physiological measurements made on their "image," biometric authentication systems uniquely provide the means for binding an individual's presence with their cyber action so that intent can be firmly established. Hence, the system allows the physical association of a person to the identification data in a database to enhance security protection or abuse/misuse of personal data.

Broader Impact: A strong biometric curriculum already in place will be expanded, thus preparing many in areas serviced by Homeland Security. As these trusted systems multiply, interdisciplinary education for engineers is better serviced. The work addresses increasingly important problems in homeland security.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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M. Schuckers.  "heoretical Statistical Correlation For Biometric Identification Performance,"  Proceedings of the International Conference on Acoustics, Speech, and Signal Processing,  2008, 

Schuckers, ME, Minev, YD, Adler A,.  "Curvewise DET confidence regions and pointwise EER confidence intervals using radial sweep methodology,"  Proceedings of the 2nd International Conference on Biometrics 2007,  v.2,  2007, 


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