Publications

  • J.J. Howard. Understanding and Mitigating Bias in Human and Machine Face Recognition. West Virginia University, November 2023. [pdf]
  • Y.B. Sirotin. Demographic Issues Related to Face Image Quality. EAB, November 2023. [pdf] [link] [video]
  • I. M. Shuggi, J. J. Howard, L. R. Rabbitt, Y. B. Sirotin. A Framework for Human-Algorithm Teaming in Biometric Identity Workflows. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, October 2023, pages 523-528. [pdf] [slides pdf]
  • J.J. Howard, A.V. Vemury. Updates on International Standards for Fairness in Face Recognition: ISO/IEC 19795-10: Quantifying Biometric System Performance Variation Across Demographic Groups. Biometrics Institute, U.S. Discussion Day, June 2023. [pdf]
  • A.V. Vemury, J.L. Tipton, Y.B. Sirotin. Face Recognition Scenario Testing, Performance, and Fairness. EAB, April 2023. [pdf] [link]
  • J.J. Howard, A.V. Vemury. Understanding and Mitigating Bias in Human & Machine Face Recognition. University of Lausanne, Applied Face Cognition Lab. April 2023 [pdf] [video] [link]
  • Y.B. Sirotin, A.V. Vemury. Assessing Variation In Human Skin Tone to Inform Face Recognition System Design. International Face Performance Conference (IFPC) 2022. November 2022 [pdf] [video] [link]
  • J.J. Howard, A.V. Vemury. Fairness, Demographic Differentials, and ISO 19795-10 Updates. International Face Performance Conference (IFPC) 2022. November 2022. [pdf] [video] [link]
  • J.J. Howard, Y.B. Sirotin, A.V. Vemury. Feature Vector Clustering – A Step Toward Fixing Broad Homogeneity Effects. International Face Performance Conference (IFPC) 2022. November 2022. [pdf] [video] [link]
  • D. Barragan, J. J. Howard, L. R. Rabbitt, Y. B. Sirotin. COVID-19 Masks Increase The Influence of Face Recognition Algorithm Decisions on Human Decisions in Unfamiliar Face Matching. PLoS ONE 17(11): e0277625. November 2022. [pdf] [link]
  • J.J. Howard, E.J. Laird, Y.B. Sirotin, . Disparate Impact in Facial Recognition Stems from the Broad Homogeneity Effect: A Case Study and Method to Resolve. 26th International Conference on Pattern Recognition, Fairness in Biometrics Workshop. August 2022. [pdf] [link]
  • J.J. Howard, E.J. Laird, Y.B. Sirotin, R.E. Rubin, J.L. Tipton, A.R. Vemury. Evaluating Proposed Fairness Models for Face Recognition Algorithms. 26th International Conference on Pattern Recognition, Fairness in Biometrics Workshop. August 2022. [pdf] [link]
  • L.R. Rabbitt, Y.B. Sirotin, A.R. Vemury, A. R. (2022, March). Human-Algorithm Teaming: An investigation on masks and algorithm accuracy on human decisions. In the Unfamiliar Face Identification Group (UFIG), virtual meeting, February 2022. [pdf] [link]
  • J.J. Howard, Y.B. Sirotin, J.L. Tipton, A.R. Vemury. Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics. In IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM). December 2021. [pdf] [link]
  • J.J. Howard, Y.B Sirotin, J.L. Tipton, A.R. Vemury. Quantifying the Extent to Which Race and Gender Features Determine Identity in Commercial Face Recognition Algorithms. U.S. Department of Homeland Security, Science and Technology Directorate, Technical Paper Series. September 2021. [pdf] [link]
  • Y.B. Sirotin, A.R. Vemury. Demographic Variation in the Performance of Biometric Systems: Insights Gained from Large-Scale Scenario Testing. In Virtual Events Series- Demographic Fairness in Biometric Systems. EAB, March 2021. [pdf]
  • J.A. Hasselgren, J.J. Howard, A.R. Vemury (2021). Developments in ISO 19795-10: Measuring Demographic Performance Across Demographic Groups. In Virtual Events Series- Demographic Fairness in Biometric Systems. EAB, March 2021. [pdf]
  • J.A. Hasselgren, J.J. Howard, Y.B Sirotin, J.L. Tipton, A.R. Vemury. A Scenario Evaluation of High-Throughput Face Biometric Systems: Select Results from the 2019 Department of Homeland Security Biometric Technology Rally. U.S. Department of Homeland Security, Science and Technology Directorate, Technical Paper Series. December 2020. [pdf] [link]
  • J. J. Howard, L. R. Rabbitt, and Y. B. Sirotin, “Human-algorithm Teaming in Face Recognition: How Algorithm Outcomes Cognitively Bias Human Decision-making,” PLoS ONE, vol. 15, no. 8, p. e0237855, August 2020. [link] [pdf]
  • J. J. Howard, Y.B. Sirotin, and A.R. Vermury. The Effect of Broad and Specific Demographic Homogeneity on the Imposter Distributions and False Match Rates in Face Recognition Algorithm Performance. In Proc. 10-th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2019, Tampa Florida,USA, September 2019. [link] [pdf]
  • C. M. Cook, J. J. Howard, Y. B. Sirotin, J. L. Tipton, and A. R. Vemury. Demographic Effects in Facial Recognition and their Dependence on Image Acquisition: An Evaluation of Eleven Commercial Systems . In IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM). 2019. [link] [pdf]
  • Y. B. Sirotin. Estimating Relative Skin Reflectance and Measuring its Effect on Face Recognition. 2018 International Face Performance Conference (IFPC). NIST, 2018. [link] [pdf]
  • J. J. Howard. Evaluation of Rapid Face Capture Devices. 2018 International Face Performance Conference (IFPC). NIST, 2018. [link] [pdf]
  • L. R. Rabbitt, J. A. Hasselgren, C. M. Cook, and Y. B. Sirotin. Measuring Satisfaction With Standard Survey Instruments and Single-Button Responses on Kiosks. In Human Factors and Ergonomics Society (HRES) 2018 Annual Meeting, pages 1429-1433. [link] [pdf]
  • J. A. Hasslegren, J. J. Howard, Y. B. Sirotin, A. J. Blanchard, and A. R. Vemury. Operational Tradeoffs in the 2018 Department of Homeland Security Science and Technology Directorate Biometric Technology Rally. In 2018 Eighteenth Annual IEEE Symposium on Technologies for Homeland Security (HST). IEEE, 2018. [link] [pdf]
  • J. J. Howard, A. J. Blanchard, Y. B. Sirotin, J. A. Hasselgren, and A. R. Vemury. An Investigation of High-Throughput Biometric Systems: Results of the 2018 Department of Homeland Security Biometric Technology Rally. In 2018 Nineth IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS). IEEE, 2018. [link] [pdf]
  • J. J. Howard, A. J. Blanchard, Y. B. Sirotin, J. A. Hasselgren, and A. R. Vemury. On Efficiency and Effectiveness Tradeoffs in High-Throughput Facial Biometric Recognition Systems. In 2018 Nineth IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS). IEEE, 2018. [link] [pdf]
  • J. J. Howard. Iris Vendor Results from the 2018 Biometric Technology Rally. Iris Experts Group 2018 Meeting. NIST, 2018. [link] [pdf]
  • J. A. Hasselgren. Measuring Usability at the Maryland Test Facility. Federal Identity Summit. AFCEA, 2017. [link]
  • Y. B. Sirotin, J. A. Hasselgren, and A. R. Vemury. Usability of Biometric Iris Capture Methods in Self-service Applications. In Human Factors and Ergonomics Society (HRES) 2016 Annual Meeting, pages 2019–2023. [link] [pdf]
  • Y. B. Sirotin. Usability and User Perceptions of Self-Service Biometric Technologies. International Biometric Performance Conference. NIST, 2016. [pdf]
  • Y. B. Sirotin. Efficient Test Design for Biometric Exit Scenarios. International Biometric Performance Conference (IBPC). NIST, 2016. [pdf]
  • J. A. Hasselgren. Scenario Tests for Immigration Exit. International Biometric Performance Conference (IBPC). NIST, 2016. [pdf]
  • J. A. Hasselgren. Apex AEER - Evaluating Biometric Exit Concepts of Operations. ConnectID. IBIA, 2016.
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