• DocumentCode
    2903090
  • Title

    Open source biometric recognition

  • Author

    Klontz, Joshua C. ; Klare, Brendan F. ; Klum, Scott ; Jain, Anubhav K. ; Burge, Mark J.

  • Author_Institution
    Michigan State Univ., East Lansing, MI, USA
  • fYear
    2013
  • fDate
    Sept. 29 2013-Oct. 2 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The biometrics community enjoys an active research field that has produced algorithms for several modalities suitable for real-world applications. Despite these developments, there exist few open source implementations of complete algorithms that are maintained by the community or deployed outside a laboratory environment. In this paper we motivate the need for more community-driven open source software in the field of biometrics and present OpenBR as a candidate to address this deficiency. We overview the OpenBR software architecture and consider still-image frontal face recognition as a case study to illustrate its strengths and capabilities. All of our work is available at www.openbiometrics.org.
  • Keywords
    face recognition; groupware; public domain software; software architecture; OpenBR software architecture; collaborative software development; community-driven open source software; open source biometric recognition; still-image frontal face recognition; Algorithm design and analysis; Face; Face recognition; Libraries; Software; Software algorithms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Arlington, VA
  • Type

    conf

  • DOI
    10.1109/BTAS.2013.6712754
  • Filename
    6712754