A Novel Algorithm for Distorted Fingerprint Matching Based on Fuzzy Features Match

  • Xinjian Chen
  • Jie Tian
  • Xin Yang
Conference paper

DOI: 10.1007/11527923_69

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3546)
Cite this paper as:
Chen X., Tian J., Yang X. (2005) A Novel Algorithm for Distorted Fingerprint Matching Based on Fuzzy Features Match. In: Kanade T., Jain A., Ratha N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg

Abstract

Coping with non-linear distortions in fingerprint matching is a real challenging task. This paper proposed a novel method, fuzzy features match (FFM), to match the deformed fingerprints. The fingerprint was represented by the fuzzy features: local triangle features set. The similarity between fuzzy features is used to character the similarity between fingerprints. First, a fuzzy similarity measure for two triangles was introduced. Second, the result is extended to construct a similarity vector which includes the triangle-level similarities for all triangles in two fingerprints. Accordingly, a similarity vector pair is defined to illustrate the similarities between two fingerprints. Finally, the FFM measure maps a similarity vector pair to a scalar quantity, within the real interval [0, 1], which quantifies the overall image to image similarity. To validate the method, fingerprints of FVC2004 were evaluated with the proposed algorithm. Experimental results show that FFM is a reliable and effective algorithm for fingerprint matching with non-liner distortions.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xinjian Chen
    • 1
  • Jie Tian
    • 1
  • Xin Yang
    • 1
  1. 1.Center for Biometrics and Security Research, Key Laboratory of Complex Systems, and Intelligence ScienceInstitute of Automation Chinese Academy of Science, Graduate School of the Chinese Academy of ScienceBeijingChina

Personalised recommendations