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A Combined Radial Basis Function Model for Fingerprint Distortion

  • Xuefeng Liang
  • Tetsuo Asano
  • Hui Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

Most fingerprint recognition techniques are based on minutiae matching and have been well studied. However, this technology still suffers from problems associated with the handling of poor quality impressions. One problem besetting fingerprint matching is distortion. Distortion changes both geometric position and orientation, and leads to difficulties in establishing a match among multiple impressions acquired from the same finger tip. In this paper, according to the particularity of fingerprint distortion, we propose a combined radial basis function (RBF) model, which separately builds rigid and nonrigid transformations, for attacking the distortion problem. Combined RBF model provides more accurate mapping function between a possible matched-pair. Experiments on real data demonstrate the efficacy of the proposed method in improving the compensation of fingerprint distortion.

Keywords

Radial Basis Function Dynamic Time Warping Rigid Transformation False Acceptance Rate False Rejection Rate 
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 2006

Authors and Affiliations

  • Xuefeng Liang
    • 1
  • Tetsuo Asano
    • 1
  • Hui Zhang
    • 2
  1. 1.Japan Advanced Institute of Science and TechnologyNomi, IshikawaJapan
  2. 2.Southwest University of Science and TechnologyMianyang, SichuanChina

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