Abstract
The increasing use of distributed authentication architecture has made interoperability of systems an important issue. Interoperability of systems reflects the maturity of the technology and also improves confidence of users in the technology. Biometric systems are not immune to the concerns of interoperability. Interoperability of fingerprint sensors and its effect on the overall performance of the recognition system is an area of interest with a considerable amount of work directed towards it. This research analyzed effects of interoperability on error rates for fingerprint datasets captured from two optical sensors and a capacitive sensor when using a single commercially available fingerprint matching algorithm. The main aim of this research was to emulate a centralized storage and matching architecture with multiple acquisition stations. Fingerprints were collected from 44 individuals on all three sensors and interoperable False Reject Rates of less than .31% were achieved using two different enrolment strategies.
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Grother, P., Wilson, C., Tabassi, E., Indovina, M., Flanagan, P., Salamon, W., Newton, E., McCabe, M., Watson, C.: Minex performance and interoperability of the incits 378 fingerprint template. Technical report, NIST, Gaithersburg Maryland (2006)
Han, Y., et al.: Resolution and distortion compensation based on sensor evaluation for interoperable fingerprint recognition. In: International Joint Conference on Neural Networks, Vancouver Canada (2006)
Hass, N., Pankanti, S., Yao, M.: Automatic Fingerprint Recognition Systems. In: Fingerprint Quality Assessment, p. 55. Springer, NY (2004)
IBG. Biometrics market and industry report, p. 224 (2007)
Igaki, S., et al.: Real time fingerprint sensor using a hologram. Applied Optics 31, 1974 (1992)
Jain, A., Ross, A.: Biometric sensor interoperability. In: BioAW 2004, vol. 3067, p. 134. Springer, Berlin (2004)
Ko, T., Krishnan, R.: Monitoring and reporting of fingerprint image quality and match accuracy for a large user application. In: Applied Imagery Pattern Recognition Workshop, Washington, DC (2004)
Kukula, E.: Impact of fingerprint force on image quality and detection of minutiae. Purdue University, INHA University, p. 7 (2007)
Modi, S., Elliott, S.: Impact of imagery quality on performance: Comparison of young and elderly fingerprints. In: 6th International Conference on Recent Advances in Soft Computing, Canterbury, UK (2006)
Nagdir, R., Ross, A.: A calibration model for fingerprint sensor interoperability. In: SPIE Conference on Biometric Technology for Human Identification III, Orlando, USA (2006)
O’Gorman, L., Xia, X.: Innovations in fingerprint capture devices. Pattern Recognition 36, 361 (2001)
Secugen. Seir optical technology. Technical report, Secugen (2007)
Setlak, D.: Automatic Fingerprint Recognition Systems. In: Advances in Fingerprint Sensors Using RF Imaging Techniques, p. 27. Springer, NY (2004)
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Modi, S., Elliott, S., Kim, H. (2007). Performance Analysis for Multi Sensor Fingerprint Recognition System. In: McDaniel, P., Gupta, S.K. (eds) Information Systems Security. ICISS 2007. Lecture Notes in Computer Science, vol 4812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77086-2_26
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DOI: https://doi.org/10.1007/978-3-540-77086-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77085-5
Online ISBN: 978-3-540-77086-2
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