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Principal Deformations of Fingerprints

  • Sergey Novikov
  • Oleg Ushmaev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3546)

Abstract

We studied natural relative deformations of fingerprints using the methods of elasticity theory [1,2]. As shown by experiments, the registration of deformations results in almost 3 times improvement for direct overlap matching. Principal components of deformations (eigen deformations) are obtained here from the statistics of genuine matches of fingerprints from several public available databases [3,4]. Energy and cross-compatibility analysis for eigen deformations bases carried out on different datasets are adduced in couple with the examples of implementations where dimensionality reduction in the representation of elastic deformations yields significant advantage.

Keywords

Elastic Deformation Sparse Grid Nonlinear Deformation Fingerprint Image Minutia Extraction 
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

  • Sergey Novikov
    • 1
  • Oleg Ushmaev
    • 1
  1. 1.Biolink Technologies, Inc 

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