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The Quality of Fingerprint Scanners and Its Impact on the Accuracy of Fingerprint Recognition Algorithms

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4105))

Abstract

It is well-known that in any biometric systems the quality of the input data has a strong impact on the accuracy that the system may provide. The quality of the input depends on several factors, such as: the quality of the acquisition device, the intrinsic quality of the biometric trait, the current conditions of the biometric trait, the environment, the correctness of user interaction with the device, etc. Much research is being carried out to quantify and measure the quality of biometric data [1] [2]. This paper focuses on the quality of fingerprint scanners and its aim is twofold: i) measuring the correlation between the different characteristics of a fingerprint scanner and the performance they can assure; ii) providing practical ways to measure such characteristics.

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References

  1. Tabassi, E., Wilson, C.L., Watson, C.I.: Fingerprint Image Quality. Nist research report NISTIR 7151 (August 2004)

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  2. Chen, Y., Dass, S., Jain, A.: Fingerprint Quality Indices for Predicting Authentication Performance. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 160–170. Springer, Heidelberg (2005)

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  3. Department of Justice F.B.I., Electronic Fingerprint Transmission Specification, CJIS-RS-0010 (V7) (January 1999)

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  4. NIST, IAFIS Image Quality Specifications for Single Finger Capture Devices, NIST White Paper (working document), available at: http://csrc.nist.gov/piv-program/Papers/Biometric-IAFIS-white-paper.pdf

  5. NIST Personal Identification Verification Program web site, http://csrc.nist.gov/piv-program

  6. FVC 2006 web site (2006), http://bias.csr.unibo.it/fvc

  7. Nill, N.B., Bouzas, B.H.: Objective Image Quality Measure Derived from Digital Image Power Spectra. Optical Engineering 31(4), 813–825 (1992)

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© 2006 Springer-Verlag Berlin Heidelberg

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Cappelli, R., Ferrara, M., Maltoni, D. (2006). The Quality of Fingerprint Scanners and Its Impact on the Accuracy of Fingerprint Recognition Algorithms. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_3

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  • DOI: https://doi.org/10.1007/11848035_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39392-4

  • Online ISBN: 978-3-540-39393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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