A multi-sample standoff multimodal biometric system

Chris Boehnen, Del Barstow, Dilip Patlolla, Chris Mann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The data captured by existing standoff biometric systems typically has lower biometric recognition performance than their close range counterparts due to imaging challenges, pose challenges, and other factors. To assist in overcoming these limitations systems typically perform in a multi-modal capacity such as Honeywell's Combined Face and Iris (CFAIRS) [21] system. While this improves the systems performance, standoff systems have yet to be proven as accurate as their close range equivalents. We will present a standoff system capable of operating up to 7 meters in range. Unlike many systems such as the CFAIRS our system captures high quality 12 MP video allowing for a multi-sample as well as multimodal comparison. We found that for standoff systems multi-sample improved performance more than multimodal. For a small test group of 50 subjects we were able to achieve 100% rank one recognition performance with our system on standoff recognition of noncooperative subjects.

Original languageEnglish (US)
Title of host publication2012 IEEE 5th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2012
Pages127-134
Number of pages8
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012 - Arlington, VA, United States
Duration: Sep 23 2012Sep 27 2012

Publication series

Name2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012

Other

Other2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
CountryUnited States
CityArlington, VA
Period9/23/129/27/12

Keywords

  • biometric identification
  • multimodal biometrics
  • standoff face recognition
  • standoff iris recognition

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Boehnen, C., Barstow, D., Patlolla, D., & Mann, C. (2012). A multi-sample standoff multimodal biometric system. In 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012 (pp. 127-134). [6374567] (2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012). https://doi.org/10.1109/BTAS.2012.6374567