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Fingerprint Matching with Registration Pattern Inspection

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

Abstract

The “registration pattern” between two fingerprints is the optimal registration of each part of one fingerprint with respect to the other fingerprint. Registration patterns generated from imposter’s matching attempts are different from those patterns from genuine matching attempts, although they may share some similarities in the aspect of minutiae. In this paper, we present an algorithm that utilizes minutiae, associate ridges and orientation fields to determine the registration pattern between two fingerprints and match them. The proposed matching scheme has two stages. An offline, training stage, derives a genuine registration pattern base from a set of genuine matching attempts. Then, an online matching stage registers the two fingerprints and determines the registration pattern. Only if the pattern makes a genuine one, a further fine matching is conducted. The genuine registration pattern base was derived using a set of fingerprints extracted from the NIST Special Database 24. The algorithm has been tested on the second FVC2002 database. Experimental results demonstrate the performance of the proposed algorithm.

Keywords

Feature Point Dynamic Time Warping Orientation Field Fingerprint Image Registration Pattern 
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

  • Hong Chen
    • 1
  • Jie Tian
    • 1
  • Xin Yang
    • 1
  1. 1.Biometrics Research GroupInstitute of Automation, Chinese Academy of ScienceBeijingChina

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