Overview of the Biometrics Lab at Purdue

Biometric Standards, Performance, and Assurance Laboratory |

Purdue University

www.bspalabs.org

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Overview of the Biometrics Lab Learning | Engagement | Discovery

http://www.biotown.purdue.edu/index.html

Biometric Standards, Performance & Assurance Laboratory www.bspalabs.org | www.twitter.com/bspalabs | www.slideshare.net/bspalabs |

http://www.linkedin.com/companies/bspa-labs

Applied Biometrics

The BSPA Laboratory was established in 2001 to meet the growing demand for applied research facilities in biometrics, primarily testing and evaluation

Mission: To excel in the applied research of biometric technologies with a continued commitment to education and innovative research, as well as engaging academia and industry in all of our activities.




BSPA Lab Functional Areas

Research

StandardsTesting

Education

Over 10 years of experience in education: undergraduate, graduate, distance, and industrial settings.





Research

StandardsTesting

Education

Capabilities:• Performance Assessment

• Pilot testing• Technology, Scenario,

Operational, Hybrid Testing• Usability Testing and Process

Improvement





Research

StandardsTesting

Education

Research focuses on solving issues that are observed in the field. Focus on:- Performance, - Identity management, - Usability





Research

StandardsTesting

Education

Participation:• International

Representative & Head of Delegation for WG5 Testing

• Editors of multiple standards





Research

StandardsTesting

Education

These functional areas link into Research

Education

Engagement / Outreach

Learning




Learning

Undergraduate and Graduate classes Biometric Technologies certificate

CBP training

Graduate certificate in Biometrics*

Graduate courses

Offered both online and on-campus




Undergraduate Course

Automatic Identification and Data Capture Covers technology from bar codes, card technologies, and

biometrics

No prerequisites

Offered online and offline




Graduate Courses

Biometric Technology and Applications

Biometric Technology, Test Design,

Performance and Evaluation

Biometric Performance and Usability Analysis

Biometric System Interoperability

Fingerprint Performance and

Usability

ICT Standards AIDC for the Enterprise




AIDC for the Enterprise

Graduate level course in Automatic Identification Technologies Bar codes

Biometrics

RFID

Card technologies




ICT Standards

1 credit course Repeatable 3 times Follows work in INCITS M1 and ISO/IEC JTC 1

SC37Provides opportunities for students to provide

technical commentsClosely linked to biometric standards work




IT 55500 Biometric Technology Test Design, Performance, and Evaluation An introduction of methods of designing biometric testing,

performance, and evaluation analyses. Methods of evaluating fingerprint, face, iris, and voice

recognition data is explored using ROC curves, CMC, Rank statistics, and DET curves.

Examines testing requirements from submission of IRB documents to the final analysis.

Includes a component of comparative analysis within modalities.




IT 54000 Biometric Performance and Usability Analysis

An introduction of test methodologies from disciplines outside of biometrics, which include:

usability,

ergonomics,

human factors,

human-computer interaction,

Demonstrate how biometric data analysis can benefit from understanding how humans interact with biometric sensors during the testing and evaluation of biometric systems.

Explores test methods, case studies, and prior biometric testing reports in order to develop a test methodology that includes information on how users interact with biometric systems.




IT 65700 Fingerprint Performance and Usability

Covers topics of fingerprint capture, fingerprint feature extraction, fingerprint matching, and attacks on fingerprint systems.

Requires analysis of real fingerprint data and the integration of fingerprint recognition in existing infrastructures.

Development of a fingerprint recognition system is required.




IT 65800 Biometric Systems Interoperability: Applications and Challenges

Provides a technology neutral approach to the discussion of biometric system interoperability.

Examines the issues of biometric sub-systems of different biometric modalities and sub-systems of the general biometric model.

Students will be able to critically evaluate the impact of interoperability of sub-systems on the performance of the entire system.




IT 54500 Biometric Technology and Applications

Foundation course Six modules cover the IEEE CBP Body of

Knowledge Biometric Fundamentals

Biometric Modalities

Biometric System Design and Evaluation

Biometric Standards

Social, Cultural and Legal Implications

Biometric Applications




Access to courses

Online – start at a time that is convenient to you Learn at your own pace For more information:

http://www.bspalabs.org/about-us/contact-page/


Applied Research




Applied Research

Partnership Among Researchers, Industry and Users and Standards Adoption (Podio, 2006)




Our Approach – Applied Research through Testing

Blind (2008)




Our Approach – Developing new devices

Blind (2008)




Our Approach – Developing and Contribution to Standards

Blind (2008)




Understanding Error

Research

StandardsTesting

Education

The development of our approach consists of:

TestingResearch Standards Education




Research Agenda for Fall 2010

Biometric Operator Performance Face Recognition and the Indiana Department of

Correction Standard Compliance of Legacy Biometric DataModeling biometric modalities onto the HBSI

(Human Biometric Sensor Interaction) methodUnderstanding Biometric ErrorHabituation….




Biometric Operator Performance

Analyzing the impact of different instructional methods of training on a biometric data collection agent and how would that affect the biometric transaction times during operational environment.

Biometric modality: Mobile Iris Recognition

Two methods of training:

audio recording instruction

soundless video instruction

Two types of data collection agent from learning styles perspective:

Verbal learner (prefers written and spoken explanations)

Visual learner (prefers visual representations such as pictures, diagrams, flow charts)




Face Recognition and the Indiana Department of Correction

Working with the Indiana Department of Correction to: Review and Analyze Current and Legacy Mug Shots

Review current Mug Shot Capture Process

Utilize Analysis of mug shots and review of capture process to:

Propose an Optimized Capture Process

Capture mug shots with more consistency that are standard compliant

Implement Proposed Capture Process

Analyze Mug Shots from Proposed Capture Process

Determine if Proposed Process Successfully Optimized for Standard Compliance




Standard Compliance of Legacy Biometric Data

Over time, government agencies collect a wide variety of face and fingerprint images from individuals.

Historically, this data was collected manually, and stored in a filing cabinet, or scanned into a digital format.

As agencies implement digital capture technologies, a question remains: what to do with the old data?




Standard Compliance of Legacy Biometric Data

In this research project, we are analyzing face photographs that have been stored on paper, to examine whether these images are standard compliant.

This three year project examined over 48,000 digital and paper-based photographs from the Indiana Department of Correction, with the intent to develop a list of recommendations on how to deal with legacy data.

In this academic year, the results of the standard compliance analysis will be published, and available on the website.




Modeling biometric modalities onto the HBSI (Human Biometric Sensor Interaction) method

The goal of this research is to provide the biometrics community with a comparative evaluation method for biometric devices that uses ergonomics, usability, biometric image quality, and traditional system performance criteria to evaluate the design and functionality of biometric devices and systems.

This model was initially developed using fingerprint recognition as a base modality, but as the model matures, we have started to map the other modalities onto the model. This academic year will see hand geometry and iris recognition mapped for model validation.




Understanding Biometric Error

Historically, biometric performance has relied on basic metrics such as FNMR and FMR, as well as Failure to Enroll, Failure to Acquire etc.

As biometric deployments become widespread, and the number of people enrolled is in the millions, a 1% error rate is a significantly large number.

A large part of our research portfolio is trying to understand this error, and providing new definitions and metrics.

The goal of this research is to improve operational performance, design better systems (in line with the HBSI model), and to further the research communities understanding of biometric error.




Habituation….

Inside the biometric community, the definition of the word habituation varies from person to person.

The general concept of the word implies that something happens as the user repeatedly uses a system. What this something is and the duration of repeatedly are the concern of this research.




Habituation…

Some argue that the number of errors committed by the user will decrease as the user becomes more comfortable with the system, others argue that once comfortable with the system, the user’s interaction will become sloppy, therefore increasing the number of errors occurring.

Others would like to quantify habituation as involving performance or image quality as opposed to error rates.

No matter which side of the fence a researcher sits, there is a need to either accept an overarching definition of habituation or discard the word for a framework of variables




Habituation…

Industrial engineering has long used the term habituation, but has an accepted definition of the word.

This research will look at the definitions and changes in the use of the word habituation from both fields over time.

Additionally, this study will try to create a framework in an attempt to create a cohesive model for the concept coined habituation. To do this, the study will utilize previous research and findings from multiple fields and sources.


Engagement | Outreach




Engagement | Outreach Mission

Part of our mission is to engage and outreach to the biometrics community

Successful deployment of biometrics is crucial to the growth of the biometrics industry

Engage with companies to test, evaluate biometric devices




Engagement | Outreach Mission

Engage with industry to solve complex problemsContribute to standards activities, both in the U.S.

and internationally


Opportunities for Students




Opportunities for students

Of those that graduate from the lab 100% placement

Work for government, contractors, private sector firms

Many students have internships




Companies where students have interned or accepted full time jobs




How to contact us

Knoy Hall of Technology, Purdue University401 N. Grant Street

West Lafayette, IN 47907-2021

www.bspalabs.org(765) 495-2311

[email protected]

http://www.bspalabs.org/

mailto:[email protected]
