Performance Improvement in a Fingerprint Classification System Using Anisotropic Diffusion

  • Gonzalo Vallarino
  • Gustavo Gianarelli
  • Jose Barattini
  • Alvaro Gómez
  • Alicia Fernández
  • Alvaro Pardo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)

Abstract

In a previous work, [1], we evaluated a classification algorithm based on the Karu-Jain method [2] and compared the performance with a fully manual method used at the Dirección Nacional de Identificación Civil (DNIC). In this paper, we analyze the high performance improvement achieved using anisotropic diffusion instead of pure averaging for the directions smoothing. We also define a quality measure that shows high correlation with the experts’ criteria. The results are evaluated over 2800 images extracted from a 4 million fingerprint card archive maintained by DNIC.

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References

  1. 1.
    Bartesaghi, A., Fernandez, A., Gomez, A.: Performance evaluation of an automatic fingerprint classification algorithm adapted to a vucetich based classification system. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 259–265. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  2. 2.
    Karu, K., Jain, A.: Fingerprint classification. Pattern Recognition 29(3), 389–404 (1996)CrossRefGoogle Scholar
  3. 3.
    Shen, L.L., Kot, A., Koo, W.M.: Quality Measures of Fingerprint Images. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (2000)Google Scholar
  4. 4.
    Pardo, A., Sapiro, G.: Vector Probability Diffusion. IEEE Signal Processing Letters 8(4), 106–109 (2001)CrossRefGoogle Scholar
  5. 5.
    Perona, P.: Orientation Diffusion. IEEE Transactions on Image Processing 7(3), 457–467 (1998)CrossRefGoogle Scholar
  6. 6.
    Perona, P., Malik, J.: Scale-space and Edge Detection Using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)CrossRefGoogle Scholar
  7. 7.
    Ratha, N., Karu, K., Chen, S., Jain, A.: A real-time matching system for large fingerprint databases. IEEE Pattern Analysis and Machine Intelligence 18(8) (1996)Google Scholar
  8. 8.
    Tang, B., Sapiro, G., Caselles, V.: Diffusion of general data on non-flat manifolds via harmonic maps theory: The direction diffusion case. International Journal Computer Vision 36(2), 149–161 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gonzalo Vallarino
    • 1
  • Gustavo Gianarelli
    • 1
  • Jose Barattini
    • 1
  • Alvaro Gómez
    • 1
  • Alicia Fernández
    • 1
  • Alvaro Pardo
    • 1
  1. 1.Institute of Electrical Engineering, Faculty of EngineeringUniversidad de la RepúblicaMontevideoUruguay

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