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Real-time Feedback for Usable Fingerprint Systems

Published

Author(s)

Mary F. Theofanos, Brian C. Stanton, Yee-Yin Choong, Haiying Guan

Abstract

Compared with traditional password and other identification methods, biometrics like face, iris, and fingerprint for automatic personal identification/verification have many advantages, and are increasingly gaining popularity in all kinds of applications. As the technologies mature, the community has begun to realize that usability has great impact on the final accuracy and efficiency of a biometric system. Although research has shown that effective feedback can improve the quality of the fingerprint images captured and user satisfaction, currently feedback information of fingerprint devices used in real world applications is very limited. We design a rich, quality-driven interactive real-time feedback mechanism for unattended fingerprint kiosk. The system aims to improve the quality of biometric samples during the acquisition process by feeding rich information back to the user instantaneously by measuring objective parameters of the image. The paper proposes an innovative, cost-efficient, real-time algorithm for fingertip detection, slap/thumb rotation detection, and finger region intensity estimation. The paper provides detailed information on the technical solution and its implementation. Preliminary results show that the methodology can potentially increase efficiency, effectiveness, and user satisfaction of a fingerprint biometric system
Proceedings Title
IEEE Biometrics Compendium
Conference Dates
October 11-13, 2011
Conference Location
Cyrstal City, VA
Conference Title
International Joint Conference on Biometrics

Keywords

biometrics, usability, feedback, fingerprint

Citation

Theofanos, M. , Stanton, B. , Choong, Y. and Guan, H. (2011), Real-time Feedback for Usable Fingerprint Systems, IEEE Biometrics Compendium , Cyrstal City, VA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=909302 (Accessed May 30, 2024)

Issues

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Created October 11, 2011, Updated February 19, 2017