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An Adaptive Fingerprint Post-processing Algorithm Based on Mathematical Morphology

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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

In this paper, an adaptive post-processing method using mathematical morphology combined with analyzing the properties of each candidate minutia based on the gray-level image, binary image, local ridge spacing and local orientation is presented to decide whether the minutia is false or true and to eliminate the false one. The experiment results demonstrate the effectiveness to reduce the number of false minutiae encountered and improve the thinning fingerprint images at the same time.

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References

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Author information

Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Box 113, 100876

    Fei Su & Anni Cai

Authors
  1. Fei Su
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  2. Anni Cai
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. Department of Electronics & Communication Engineering, Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Center of Computer Vision, School of Mathematics and Computing Science, Sun Yat-sen University, 510275, Guangzhou, China

    Guocan Feng

  5. School of Computer Science and Engineering, Beihang University, Beijing, China

    Yunhong Wang

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© 2004 Springer-Verlag Berlin Heidelberg

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Su, F., Cai, A. (2004). An Adaptive Fingerprint Post-processing Algorithm Based on Mathematical Morphology. 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_46

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  • DOI: https://doi.org/10.1007/978-3-540-30548-4_46

  • 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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