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Phase-Correlation Based Registration of Swipe Fingerprints

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Advances in Biometric Person Authentication (SINOBIOMETRICS 2004)

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

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Abstract

Thermal swipe sensor is one of the technologies behind many of today’s fingerprint sensors. This paper presents a new direct Fourier-based algorithm for performing swipe fingerprints registration to subpixel accuracy, where the fingerprint image differences are restricted to translations and uniform changes of illumination. The method is based on the extension of the well-known phase correlation technique and is able to estimate large translations of swipe fingerprints with pixel and subpixel accuracy. Excellent experimental results have been obtained for pixel and subpixel translation estimation of swipe fingerprints. And experimental data show that the algorithm has less time consumption and more robustness against noise and superior registration precision.

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References

  1. http://www.fingerprints.com

  2. Kuglin, C.D., Hines, D.C.: The Phase Correlation Image Alignment Method. In: Proc. Int. Conf. Cybernetics Society, pp. 163–165 (1975)

    Google Scholar 

  3. Papoulis, A.: Signal Analysis. McGraw-Hill, New York (1977)

    MATH  Google Scholar 

  4. Pearson, J.J., Hines, D.C., Golosman, S., Kuglin, C.D.: Video Rate Image Correlation Processor. In: Proc. SPIE, pp. 197–205 (1977)

    Google Scholar 

  5. Shekarforoush, H., Zerubia, J., Berthod, M.: Extension of Phase Correlation to Subpixel Registration. IEEE Transactions on Image Processing 11, 188–200 (2002)

    Article  Google Scholar 

  6. Stone Harold, S., Orchard Michael, T., Ee-Chien, C., Martucci Stephen, A.: A Fast Direct Fourier-Based Algorithm for Subpixel Registration of Images. IEEE Transactions on Geoscience and Remote Sensing 39, 2235–2243 (2001)

    Article  Google Scholar 

  7. Jain, A.K., Lin, H., Sharath, P., Ruud, B.: An Identity-Authentication System Using Fingerprints. Proceedings of the IEEE 85, 1365–1388 (1997)

    Article  Google Scholar 

  8. http://www.europe.omron.com

  9. Bracewell, R.N.: The Fourier Transform and Its Applications. McGraw-Hill, New York (1965)

    MATH  Google Scholar 

  10. Stone Harold, S.: Fourier-based Image Registration Techniques. NEC research.

    Google Scholar 

  11. Scott, H.W.: A Subspace Identification Extension Phase Correlation Method. IEEE Transactions on Medical Imaging 22, 277–280 (2003)

    Article  Google Scholar 

  12. Scott, H.W.: Identification of Translational Displacements between N-Dimensional Data Sets Using the High Order SVD and Phase Correlation. IEEE Transactions on Image Processing, 1–7 (2004)

    Google Scholar 

  13. Zitova, B., Flusser, J.: Image Registration Methods: A Survey. Image and Vision Computing 21, 977–1000 (2003)

    Article  Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Yang, J., Wu, H., Xue, Y. (2004). Phase-Correlation Based Registration of Swipe 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_57

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  • DOI: https://doi.org/10.1007/978-3-540-30548-4_57

  • 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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