• DocumentCode
    1780659
  • Title

    Ten-print fingerprint self-captures: Graphics-only user guidance without language

  • Author

    Yee-Yin Choong ; Theofanos, Mary

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2014
  • fDate
    Sept. 29 2014-Oct. 2 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Users of biometric systems have expanded from traditional law enforcement operators to the general population with diverse backgrounds. Past research has shown that usability was improved when users received real-time system feedback regarding their hand positioning and how to correct any undesirable positions. Users can perform fingerprint self-captures successfully by following real-time textual corrective instructions as reported by Choong, Theofanos and Guan. This paper builds on their work with two research questions: what symbols best convey the textual instructions, and, can diverse international users perform ten-print fingerprint self-captures by following graphics-only guidance with no language? We developed a prototype biometric self-capture kiosk to investigate these research questions. A total of 140 subjects participated in two controlled experiments. The findings show that the self-capture prototype is a highly usable system with evidence of great potential for supporting diverse users. By following the real-time graphics-only guidance, participants quickly learned, and were comfortable and confident to capture their own fingerprints without any assistance.
  • Keywords
    fingerprint identification; graphical user interfaces; real-time systems; biometric self-capture kiosk; biometric systems; graphics-only user guidance; hand positioning; real-time graphics-only guidance; real-time system feedback; real-time textual corrective instructions; ten-print fingerprint self-captures; Animation; Fingerprint recognition; Image matching; Prototypes; Real-time systems; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics (IJCB), 2014 IEEE International Joint Conference on
  • Conference_Location
    Clearwater, FL
  • Type

    conf

  • DOI
    10.1109/BTAS.2014.6996277
  • Filename
    6996277