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
fDate :
Sept. 29 2014-Oct. 2 2014
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;
Conference_Titel :
Biometrics (IJCB), 2014 IEEE International Joint Conference on
Conference_Location :
Clearwater, FL
DOI :
10.1109/BTAS.2014.6996277