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A Fingerprint Recognition Algorithm Combining Phase-Based Image Matching and Feature-Based Matching

  • Koichi Ito
  • Ayumi Morita
  • Takafumi Aoki
  • Hiroshi Nakajima
  • Koji Kobayashi
  • Tatsuo Higuchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. The use of Fourier phase information of fingerprint images makes possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. Experimental evaluations using two different types of fingerprint image databases demonstrate efficient recognition performance of the proposed algorithm compared with a typical minutiae-based algorithm and the conventional phase-based algorithm.

Keywords

Equal Error Rate Fingerprint Image Minutia Extraction Local Structure Feature Ridge Bifurcation 
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

  • Koichi Ito
    • 1
  • Ayumi Morita
    • 1
  • Takafumi Aoki
    • 1
  • Hiroshi Nakajima
    • 2
  • Koji Kobayashi
    • 2
  • Tatsuo Higuchi
    • 3
  1. 1.Graduate School of Information SciencesTohoku UniversitySendaiJapan
  2. 2.Yamatake CorporationIseharaJapan
  3. 3.Faculty of EngineeringTohoku Institute of TechnologySendaiJapan

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