Abstract
One of the primary functions of minutia-based fingerprint recognition algorithms is to compute a similarity measure between two fingerprints. The similarity measure is generally based on the type, angle- difference, and position-difference of corresponding minutiae. This paper proposes a Bayesian probability modeling method for computing the fingerprint similarity measure. The proposed method models the distributions of the angle- differences and the position-differences according to the type-difference between the corresponding minutia pairs. Also, the similarity measure is represented by a posteriori probability assuming that their distributions are statistically independent. This method has been applied to two different cases of fingerprint verification and demonstrated its effectiveness by reducing the equal error rates with the average of 40%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fielding, K.H., et al.: Optical fingerprint identification by binary joint transform correlation. Optical Engineering 30(12), 1958–1961 (1991)
Bahuguna, R.: Fingerprint verification using hologram matched filterings. In: Proc. Biometric Consortium Eighth Meeting, San Jose, CA (June 1996)
Driscoll, E.C., Martin, C.O., Ruby, K., Russel, J.J., Watson, J.G.: Method and apparatus for verifying identity using image correlation. U.S. Patent 5067162 (1991)
Sibbald, A.: Method and apparatus for fingerprint characterization and recognition using auto-correlation pattern. U.S. Patent 5633947 (1994)
Ratha, N.K., Karu, K., Chen, S., Jain, A.K.: A real-time matching system for large fingerprint databases. IEEE Trans. On PAMI 18(8), 799–813 (1996)
Bolle, R.M., et al.: System and method for detecting ridge counts in fingerprint image processing. U.S.Patent No.6266433, July 24 (2001)
Jain, A.K., et al.: On-line fingerprint verification. IEEE Trans. On PAMI 19(4), 302–314 (1997)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn., pp. 20–64. Wiley Publication, Chichester (2000)
Garcia, A.L.: Probability and Random Processing for Electrical Engineering, 2nd edn., pp. 116–119. Addison-Wesly Publication, London (2000)
Maio, D., Maltoni, D., Cappelli, R., wayman, J., Jain, A.K.: FVC2002: Fingerprint verification competition. In: Proceedings, 16th International Conference on Pattern Recognition, vol. 3, pp. 811–814 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Joun, S., Yi, E., Ryu, C., Kim, H. (2003). A Computation of Fingerprint Similarity Measures Based on Bayesian Probability Modeling. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_63
Download citation
DOI: https://doi.org/10.1007/978-3-540-45179-2_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40730-0
Online ISBN: 978-3-540-45179-2
eBook Packages: Springer Book Archive