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An Improved Image Enhancement Scheme for Fingerprint Minutiae Extraction in Biometric Identification

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Book cover Audio- and Video-Based Biometric Person Authentication (AVBPA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2091))

Abstract

In this paper a complete algorithmic scheme for automatic fingerprint recognition is presented. In [3] an identification/verification system is described. The whole recognition process is accomplished in two stages: in the first one, biometric characteristics of fingerprints are extracted (characteristics denoted as minutiae, which represent basically the beginning, end or bifurcation of a ridge), and in the second stage, those fingerprints will be matched with templates belonging to the test database. In this paper, some improving alternatives regarding the first stage, namely the image enhancement process, are proposed, consequently leading to an increase of the reliability in the minutiae extraction stage. Conclusions in terms of Goodness Index (GI) are provided in order to test the global performance of this system.

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References

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Author information

Authors and Affiliations

  1. Biometric Research Lab., ATVS-EUIT Telecomunicacion Universidad Politecnica de Madrid, Spain

    D. Simon-Zorita, J. Ortega-Garcia, S. Cruz-Llanas, J. L. Sanchez-Bote & J. Glez-Rodriguez

Authors
  1. D. Simon-Zorita
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  2. J. Ortega-Garcia
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  3. S. Cruz-Llanas
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  4. J. L. Sanchez-Bote
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  5. J. Glez-Rodriguez
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Editor information

Editors and Affiliations

  1. School of Information Science, Computer and Electrical Engineering, Halmstad University, P.O. Box 823, S-301 18, Halmstad, Sweden

    Josef Bigun  & Fabrizio Smeraldi  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Simon-Zorita, D., Ortega-Garcia, J., Cruz-Llanas, S., Sanchez-Bote, J.L., Glez-Rodriguez, J. (2001). An Improved Image Enhancement Scheme for Fingerprint Minutiae Extraction in Biometric Identification. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_31

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  • DOI: https://doi.org/10.1007/3-540-45344-X_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42216-7

  • Online ISBN: 978-3-540-45344-4

  • eBook Packages: Springer Book Archive

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