Fingerprint Orientation Field Estimation Using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering)

  • Marco Antonio Ameller Flores
  • Angélica González Arrieta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 474)

Abstract

The goal of this paper is to offer a joined approach in fingerprint orientation field estimation, integrating some of the most known techniques like ridge orientation estimation and image filtering, both tested using images from local and public databases. We propose a reliable orientation estimation algorithm [6] and anisotropic image filtering in this paper. To show the applied theory experimental results, we use Matlab for our implementation of the above algorithms. The investigation results showed robustness improving the correct estimation of the fingerprint ridge orientation process.

Keywords

Fingerprint Fingerprint enhancement Orientation estimation Orientation enhancement Anisotropic filtering 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Marco Antonio Ameller Flores
    • 1
  • Angélica González Arrieta
    • 1
  1. 1.Department of Computer ScienceUniversity of SalamancaSalamancaSpain

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