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Fingerprint Enhancement Using Oriented Diffusion Filter

  • Jiangang Cheng
  • Jie Tian
  • Hong Chen
  • Qun Ren
  • Xin Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

Fingerprint enhancement is a critical step in a fingerprint identific ation system. Recently, some anisotropic nonlinear diffusion filter is applied to the fingerprint preprocessed. Impressive results are main reason for using nonlinear diffusion filtering in image processing. Poor efficiency, especially the computational load, is the main reason for not using nonlinear diffusion filtering. In order to improve the efficie ncy, a novel piecewise nonlinear diffusion for fingerprint enhancement is presented. It shows anisotropic diffusion equation using diffusion tensor which continuously depends on the gradient is not necessary to smooth the fingerprint. We simplify the anisotropic nonlinear-diffusion in order to satisfy a real-time fingerprint recognition system. According to the local character of the fingerprint, the diffusion filter is steered by the orientation of ridge. Experimental results illustrate that our enhancement algorithm can satisfy the requirement of an AFIS.

Keywords

Anisotropic Diffusion Structure Tensor Nonlinear Diffusion Fingerprint Image Enhancement Algorithm 
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 2003

Authors and Affiliations

  • Jiangang Cheng
    • 1
  • Jie Tian
    • 1
  • Hong Chen
    • 1
  • Qun Ren
    • 1
  • Xin Yang
    • 1
  1. 1.Biometrics Research GroupInstitute of Automation, Chinese Academy of SciencesBeijingChina

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