A Method Based on the Continuous Spectrum Analysis for Fingerprint Image Ridge Distance Estimation

  • Xiaosi Zhan
  • Zhaocai Sun
  • Yilong Yin
  • Yayun Chu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)


As one kind of image having strong texture character, ridge distance is the important attribute of fingerprint image. It is important to estimate the ridge distance correctly for improving the performance of the automatic fingerprint identification system. The traditional Fourier transform spectral analysis method had the worse redundancy degree in estimating the ridge distance because it was based on the two-dimension discrete Fourier spectrum. The paper introduces the sampling theorem into the fingerprint image ridge distance estimation method, transforms the discrete spectrum into two-dimension continuous spectrum and obtains the ridge distance on the frequency field. The experimental results indicate that the ridge distance obtained from this method is more accurate and has improved the rate of accuracy of the automatic fingerprint identification system to a certain extent.


Discrete Spectrum Light Spot Sampling Theorem Fingerprint Image Light Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xiaosi Zhan
    • 1
  • Zhaocai Sun
    • 2
  • Yilong Yin
    • 2
  • Yayun Chu
    • 1
  1. 1.Computer DepartmentFuyang Normal CollegeFuyangP.R. China
  2. 2.School of Computer Science & TechnologyShandong UniversityJinanP.R. China

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