CITeR layout 4-29-2019

2018 | The Year in Review

– MULTISPECTRAL BIOMETRICS
– NOVEL BIOMETRICS
– VIDEO ANALYTICS
– BEHAVIORAL BIOMETRICS

– CREDIBILITY ASSESSMENT
– TRUST & PRIVACY
– SCIENCE OF BIOMETRICS
– CYBERSECURITY

– MOBILE & COMPUTING
– FUSION & PERFORMANCE

A NATIONAL SCIENCE FOUNDATION INDUSTRY/UNIVERSITY C I Te R |
COOPERATIVE RESEARCH CENTER

A YEAR IN REVIEW

With our interdisciplinary group of faculty, researchers and CITeR Affiliates
students, CITeR is the only National Science Foundation (NSF)
Aetna Health Inc.
Industry/University Cooperative Research Center (I/UCRC) Army Futures Command — Combat Capabilities Development
focusing on serving its affiliates in the rapidly growing Command — Armaments Center (CCDC — Armaments)
areas of identity and biometrics.

AWARE Inc.

40 master’s and PhD students Defence Research and Development Canada (DRDC)
currently engaged in CITeR Defense Forensic Science Center (DFSC)
research Department of Defense — Defense Forensics and Biometrics
Agency (DFBA)

Department of Homeland Security — Office of Biometric Identity

25 undergraduates currently Management (OBIM)
engaged in CITeR research Department of Homeland Security — Science and Technology

Directorate (S&T)

Federal Bureau of Investigation (FBI)

InCadence Strategic Solutions

15 faculty engaged in research Infineon Technologies AG
and teaching biometrics Integrated Biometrics
Precise Biometrics

Northrop Grumman Corporation

Qualcomm Incorporated

15 webinars featuring results SRC Inc.
from recently completed StereoVision Imaging Inc.
CITeR projects Veridium

ZOLOZ

3 new affiliates added
in 2018

citer.clarkson.edu

OUTREACH | WORKSHOPS
CHALLENGE PROBLEM

Outreach/Workshops Students work in breakout sessions on deep learning techniques.

CITeR Student Workshop — Forty attendees participated
in a student workshop held in conjunction with the Fall 2018
Program Review in Niagara Falls, New York. The student
workshop included learning sessions in DNA, deep learning and
privacy and was followed by a student research poster session.

Outreach — In the spring of 2018, CITeR hosted 50 students
from the Atlanta Public Schools for an interactive affiliate panel
review session followed by a session with hands-on stations
where the students talked with CITeR graduate students about
biometrics research.

Challenge Problem/Affiliate Focus Students talk with CITeR graduate students at biometric learning stations in
Atlanta, Georgia.
CITeR hosts yearly Challenge Problem workshops, which typically
highlight an affiliate or related organization and allow for problem/
solution discussion between CITeR researchers and affiliate
organizations. The Spring 2018 Challenge Problem Workshop was held
at the Defense Forensic Science Center, Forest Park, Georgia. Previous
workshops have been held at the NYPD Lower Manhattan Security
Coordination Center, New York City; Peace Bridge, Buffalo, New York; and
FBI Biometric Center of Excellence, Clarksburg, West Virginia.

Attendees of the Spring 2018 Challenge Problem Workshop.
C I Te R | 1

RESEARCH HIGHLIGHTS

- WEST VIRGINIA UNIVERSITY
- UNIVERSITY AT BUFFALO

Latent Fingerprint Distortion Correction
and Reconstruction

CITeR graduate student, Ali Dabouei, and research advisors, Dr. Nasser Nasrabadi
and Dr. Jeremy Dawson, at West Virginia University focused on latent fingerprint
distortion and reconstruction software to improve latent fingerprint automated
recognition. Their research received two awards: the Best Student Paper Award
at Biometrics: Theory, Applications and Systems and the International Association
for Pattern Recognition Best Biometrics Student Paper Award at the International
Conference on Biometrics, both in 2018.

Examples of the fingerprint reconstructions on real Elastic distortion of fingerprints negatively affects the performance of fingerprint
latent fingerprints generated by CITeR researchers recognition systems. Also, in a negative recognition scenario in which users may
intentionally distort their fingerprints, this distortion will prevent the recognition system
at West Virginia University. For each fingerprint from identifying malicious users. Current methods aimed at addressing this problem
image, the corresponding latent sample and the have limitations. They are often inaccurate because they estimate distortion parameters
based on the ridge frequency map and orientation map of input samples. A rectification
reconstructed sample are demonstrated. model was developed based on a Deep Convolutional Neural Network (DCNN) to
accurately estimate distortion parameters from the input image. Using a comprehensive
database of synthetic distorted samples, the DCNN learns to accurately estimate
distortion bases 10 times faster than the dictionary search methods used in previous
approaches. Evaluating the proposed method on public databases of distorted samples
shows that it can significantly improve the matching performance of distorted samples.

Prototype of a state-of-the-art test phantom finger Physiologically Accurate Fingerprint Phantom
developed by CITeR researchers at the University of Buffalo.
citer.clarkson.edu CITeR graduate student, Phil Schneider, and research advisor, Dr. Kwang Oh, at University
at Buffalo, The State University of New York, focused on creating a physiologically
accurate phantom finger for the testing, development and characterization of an
ultrasonic fingerprint system. As smartphone vendors continue to develop mobile
biometric technologies, they drive the key performance indicators associated with system
performance, such as acquisition time, FAR/FRR and liveness detection. The created
state-of-the-art test phantom finger provides a realistic, stable, repeatable representation
of biological/physiological features such as fingerprints, vascular patterns, blood flow,
dermatographic features, tissue and the static and dynamic touch forces of fingers. This
piece of test metrology allows for the quantification and analysis of biometric system
performance, both at a superficial-imaging and subdermal level.

RESEARCH HIGHLIGHTS TECHNOLOGY TRANSFER

- CLARKSON UNIVERSITY - WEST VIRGINIA UNIVERSITY

GPU-Accelerated Facial Video Analysis Technology Transfer —
Transition to DHS OBIM
CITeR graduate student, Xuan Qi, and research advisors, Dr. Chen Liu and
Dr. Stephanie Schuckers, at Clarkson University focus on the need for Software from CITeR researcher Guodong Guo was
rapid facial recognition in video for national and industrial security. Facial transitioned to DHS OBIM for evaluation. The software,
recognition in video requires processing huge which was developed as part of the CITeR project
amount of video streams using video analytics. “Understandable Face Image Quality Assessment,”
Performing real-time face tracking on live automatically assesses face image quality, even in
streaming video or on a large video repository challenging real-world photos. Face image quality
already poses a considerable computational
challenge, considering that a regular video assessment is important because the quality can
stream from surveillance and security cameras vary significantly due to different imaging sensors,
has 30 frames per second (FPS) or more. Adding compression techniques, video frames and/or image
facial recognition would definitely complicate acquisition conditions. Assessing face image quality
the situation and require tremendous computing automatically, quickly and precisely in real-world
power locally or a cloud computing platform, for example. To address these
challenges, CITeR researchers developed an innovative key frame analysis images is very challenging, and the software
algorithm, which tracks face(s) across frames and automatically selects the addresses these challenges.
frame with the best face(s) quality based on carefully selected metrics. In
addition, the researchers also optimized the algorithm, using a state-of-the-
art graphic processing unit (GPU) as the hardware computing engine. A GPU is
traditionally used for computer video display, but it performs parallel computation
better than traditional CPU computation. This quality-based video facial biometric
software has been installed at the FBI, a CITeR affiliate, and an evaluation by a
second affiliate is in progress.

C I Te R | 3

GRADUATE HIGHLIGHTS | AWARDED
RESEARCH PROJECTS

Michael Martin West Virginia University

Phil Schneider Michael Martin, BS in Computer Engineering, BS in Biometric Systems,
2012; PhD in Computer Engineering, expected 2020.
Nick Short Hired by CITeR affiliate Northrop Grumman as a systems architect and
citer.clarkson.edu biometric subject-matter expert.
“I have worked on several CITeR projects related to facial recognition. The
most recent involves using enhancements on passport images to improve facial
recognition capabilities. Previous projects involved using relatively low-cost
thermal cameras to determine the temperature in regions of the face. ... CITeR
allowed me to network with affiliates and make connections with industry
professionals that led to great opportunities with my current employer. My
CITeR funded projects taught me invaluable skills and provided knowledge in
many areas important to industry and government agencies.”

University at Buffalo

Phil Schneider, PhD in Electrical Engineering, 2018.
Hired by ACV Auctions in the R&D division to head up technology innovations
for vehicle identification and conditioning.
“We have coined the phrase ‘vehicle fingerprint’ as we are constantly looking through
massive amounts of data to identify a vehicle (i.e., make, model, VIN). I implement
some of the same tools and practices seen throughout CITeR, such as ML, computer
vision, DLN, phantom models, etc. ... CITeR provided me with opportunities to learn,
network, fund my research and ultimately grow into a scientist, landing me in my
current role.”

Clarkson University

Nick Short, BS in Electrical Engineering, 2016.
Hired by CITeR affiliate SRC Inc. as a systems engineer supporting electronic
warfare projects.
“During my time with CITeR, I had the unique opportunity as an underclassman to
develop and assume full responsibility for a bio-radar research project. Through this
research project, I gained valuable technical knowledge, such as radar theory and
MATLAB coding skills, that I would not have otherwise developed through my normal
slate of coursework. Additionally, I was responsible for planning the necessary steps
to get from the project’s inception to its ultimate completion.”

FINANCIALS | OUTCOMES

CITeR Income Summary 2014-18

CITeR Fall 2017 Projects $1,200,000 NSF I/UCRC Affiliate $
$1,000,000
– Cross-Device Forensic Speaker Verification Using Coupled Deep 2014 2015 2016 2017 2018
Neural Networks, $50K. $800,000
– Deep Fingerprint Matching From Non-Contact to 2-D Legacy $600,000
$400,000
Rolled Fingerprints, $50K. $200,000
– Deep Hashing for Secure Multimodal Biometrics, $50K.
– Developing an Automated Method to Remove Labeling Noise in $0
Very Large Scale Dataset, $50K.
– Incorporating Biological Models for Iris Authentication in Mobile CITeR Publications
Environments (Phase II), $50K. Year total # of publications (all researchers)
– Learning High Entropy Robust Features for Privacy Preserving Facial 2016 50
Templates, $50K. 2017 54
– Light-Weight Machine Learning for Biometric Tasks on IoT Devices, $50K.
– “Liveness Detection”: Photoacoustic Imaging of Mechanically Accurate 2018 57
Test Phantom Finger, $50K.
– A Practical Evaluation of Free-Text Keystroke Dynamics, $42K. CITeR Citations
Year total # of citations (all researchers)
2016 3362

CITeR Spring 2018 Projects 2017 3242
2018 3245
– Multistage Fusion of Biometric Matchers, $40K.
– Face Anti-Spoofing: A Comprehensive Evaluation, $40K. Database Requests
– From DNA to Face: Deducing Facial Morphology From Human Genomic Data, $35K. Year # fulfilled requests (all universities)
– Evaluation of Speaker Recognition Solutions to Guide Prototype Development, $50K. 2016 75
– Enabling Secure and Privacy Preserving Authentication via Blockchain/Smart 2017 55
Contract and Biometrics, $75K.
– Development and Validation of Radar-Based Biometric Recognition 2018 57

(Gateway Project), $40K. BOOKS
– Biometric Aging in Children — Phase II, $60K. Surveillance in Action,
P. Karampelas, and
$40K affiliate membership gains access T. Bourlai (Eds.),
Springer, 2018.
$675Kto the community and a portfolio of
in projects C I Te R | 5

citer.clarkson.edu

Contacts Affiliate Advisory Board Chair
Kody West
Clarkson University Laura Holsopple Technical Fellow
Dr. Stephanie Schuckers Managing Director Northrop Grumman Corporation
Director 315-268-2134 Robert J. DelZoppo (Outgoing Affiliate Advisory Board Chair)
315-268-6536 [email protected]
[email protected] Assistant Vice President
Strategic Technology Programs
West Virginia University Dr. Nasser Nasrabadi SRC, Inc.
Dr. Matthew Valenti Site Co-Director
Site Director 304-293-4815 Affiliate Executive Committee
304-293-9139 [email protected] Terry Riopka
[email protected] Director of Research
AWARE Inc.
University at Buffalo Srirangaraj Setlur William Zimmerman
Dr. Venu Govindaraju Site Co-Director
Site Director 716-645-1568 Chief Engineer
716-645-3321 [email protected] Defense Forensics and Biometrics Agency
[email protected] Chris Chamberlin
Project Manager
Michigan State University (planned) Office of Biometric Identity Management)
Dr. Arun Ross
517-353-9731 Department of Homeland Security
[email protected] Reza Derakhshani
Chief Scientist
ZOLOZ

citer.clarkson.edu