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Robust Ridge Following in Fingerprints

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3338))

Abstract

In this paper, we presented an improved approach of minutiae detection by following the ridges. Our algorithm is based on the two characteristics of the ridge points on the same ridge: connectivity and randomicity. Because our algorithm takes full advantage of the characteristics of the ridge points, it is robust to noise. Using our algorithm, good quality ridge images can be obtained which can be used to assist minutiae-based fingerprint matching, or directly used for fingerprint matching. Experimental results are included.

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References

  1. Mehtre, B.M.: Fingerprint Image Analysis For Automatic Identification. Machine Vision and Applications 6, 124–139 (1993)

    Article  Google Scholar 

  2. Ratha, N., Chen, S., Jain, A.K.: Adaptive Flow Orientation Based Feature Extraction In Fingerprint Images. Pattern Recognition 28(11), 1657–1672 (1995)

    Article  Google Scholar 

  3. Maio, D., Maltoni, D.: Direct Gray-Scale Minutiae Detection in Fingerprints. IEEE Trans. PAMI 19(1), 27–40 (1997)

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  4. Jiang, X., Yau, W.Y., Ser, W.: Minutiae Extraction by Adaptively Tracing the Gray Level Ridge of the Fingerprint Image. IEEE Sixth Int. Conf. On Image Processing, 852–856 (1999)

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  5. Xiao, Q., Raafat, H.: Fingerprint image postprocessing: A combined statistical and structural approach. Pattern Recognition 24(10), 985–992 (1991)

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  6. Jain, A.K., Hong, L., Bolle, R.: On-line fingerprint verification. IEEE Trans. PAMI 19(4), 302–314 (1997)

    Google Scholar 

  7. Miao, D., et al.: FVC2002: Second Fingerprint Verification Competition. In: 16th Proceedings of Pattern Recognition, Canada (2003)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Feng, J., Su, F., Cai, A. (2004). Robust Ridge Following in Fingerprints. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_48

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  • DOI: https://doi.org/10.1007/978-3-540-30548-4_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24029-7

  • Online ISBN: 978-3-540-30548-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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