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BIOMETRICS LAB
Biometric Standards, Performance and Assurance Laboratory
Department of Technology, Leadership and Innovation




                   BIOMETRIC TESTING –
                   PANEL DISCUSSION
                   STEPHEN ELLIOTT
                   IPBC 2012 – 3/7/2012
BIOMETRICS LAB
Biometric Standards, Performance and Assurance Laboratory
Department of Technology, Leadership and Innovation




                   WHAT IS MISSING IN
                   BIOMETRIC TESTING
BIOMETRIC TESTING

  • Traditional biometric testing
     – Algorithm testing
        • Well established metrics
        • Well understood testing methodologies
  • Operational testing
     – Harder to do
        • Access to environments
        • Test methodologies dependent in some cases on
          the test
TESTING AND EVALUATION

  • Essentially trying to understand how a
    system performs
    – Maybe more fundamentally – who or what is
      causing the errors
BIOMETRICS LAB
Biometric Standards, Performance and Assurance Laboratory
Department of Technology, Leadership and Innovation




                   PROBABLY NOT
                   MISSING, BUT HARD TO
                   DO
GAPS IN BIOMETRIC TESTING

   • There have been several papers on the
     contribution of individual error on
     performance
     – What causes these errors?
   • There are some papers that examine
     meta-data and the contribution of
     variables (age) and examines the
     training of algorithms
GAPS IN BIOMETRIC TESTING

   • Training
     – How do users get accustomed to devices
     – Can they remember how to use them
     – How do we provide good training to the
       users that has a consistent message
GAPS IN BIOMETRIC TESTING

   • Accessibility
      – How many people know people (!) who have
        problems with interacting with a biometric
        systems
      – How do we deal with accessibility and
        usability issues
         • Hearing and sight issues
GAPS IN BIOMETRIC TESTING

   • Human Factors
     – Testing and evaluating biometric systems by
       looking at how the users interact with the
       system
        • Are performance results different in an operational
          environment than collect in a lab?
        • Are these performance results due to the
          environment?
GAPS IN BIOMETRIC TESTING

   • It the error always subject centric?
      – The role of the device?
      – The role of the operator?
BIOMETRICS LAB
Biometric Standards, Performance and Assurance Laboratory
Department of Technology, Leadership and Innovation




                   FILLING IN THOSE GAPS
WORK IN PROGRESS

  • Interaction methodologies such as HBSI
    have been addressing issues such as
    interaction errors from the subject
    perspective
  • Developed a framework for the
    establishment of metrics
  • Continual work on defining those metrics
  • Evaluation methodology
INTERACTION
AND MY TIME IS UP…

   • An additional presentation on the
     Evolution of the HBSI model is tomorrow.

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(2012) Whats missing in biometric testing

  • 1. BIOMETRICS LAB Biometric Standards, Performance and Assurance Laboratory Department of Technology, Leadership and Innovation BIOMETRIC TESTING – PANEL DISCUSSION STEPHEN ELLIOTT IPBC 2012 – 3/7/2012
  • 2. BIOMETRICS LAB Biometric Standards, Performance and Assurance Laboratory Department of Technology, Leadership and Innovation WHAT IS MISSING IN BIOMETRIC TESTING
  • 3. BIOMETRIC TESTING • Traditional biometric testing – Algorithm testing • Well established metrics • Well understood testing methodologies • Operational testing – Harder to do • Access to environments • Test methodologies dependent in some cases on the test
  • 4. TESTING AND EVALUATION • Essentially trying to understand how a system performs – Maybe more fundamentally – who or what is causing the errors
  • 5. BIOMETRICS LAB Biometric Standards, Performance and Assurance Laboratory Department of Technology, Leadership and Innovation PROBABLY NOT MISSING, BUT HARD TO DO
  • 6. GAPS IN BIOMETRIC TESTING • There have been several papers on the contribution of individual error on performance – What causes these errors? • There are some papers that examine meta-data and the contribution of variables (age) and examines the training of algorithms
  • 7. GAPS IN BIOMETRIC TESTING • Training – How do users get accustomed to devices – Can they remember how to use them – How do we provide good training to the users that has a consistent message
  • 8. GAPS IN BIOMETRIC TESTING • Accessibility – How many people know people (!) who have problems with interacting with a biometric systems – How do we deal with accessibility and usability issues • Hearing and sight issues
  • 9. GAPS IN BIOMETRIC TESTING • Human Factors – Testing and evaluating biometric systems by looking at how the users interact with the system • Are performance results different in an operational environment than collect in a lab? • Are these performance results due to the environment?
  • 10. GAPS IN BIOMETRIC TESTING • It the error always subject centric? – The role of the device? – The role of the operator?
  • 11. BIOMETRICS LAB Biometric Standards, Performance and Assurance Laboratory Department of Technology, Leadership and Innovation FILLING IN THOSE GAPS
  • 12. WORK IN PROGRESS • Interaction methodologies such as HBSI have been addressing issues such as interaction errors from the subject perspective • Developed a framework for the establishment of metrics • Continual work on defining those metrics • Evaluation methodology
  • 14. AND MY TIME IS UP… • An additional presentation on the Evolution of the HBSI model is tomorrow.