Advertisement

A Robust Fingerprint Matching Approach: Growing and Fusing of Local Structures

  • Wenquan Xu
  • Xiaoguang Chen
  • Jufu Feng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; and then all candidates of minutiae structures grow into larger local structures (we call growing regions) based on which we define the credibility of minutiae triangles and introduce a competition strategy; finally, growing regions compete and fuse into a much larger local structures (called fusion region). The matching score is calculated based on the evaluation of growing and fusing of local structures. Results on FVC2004 show that the proposed approach is robust to fingerprint nonlinear deformation and is efficient.

Keywords

fingerprint nonlinear deformation robust local global grow fuse 

References

  1. 1.
    Feng, Y., Feng, J.: A Novel Fingerprint Matching Scheme Based on Local Structure Compatibility. In: ICPR 2006, vol. 4, track 4, Thu-O-II-1b (2006)Google Scholar
  2. 2.
    Jain, A., Hong, L.: On-line fingerprint verification. IEEE Trans. PAMI 19(4), 302–314 (1997)Google Scholar
  3. 3.
    Zhu, E.: Fingerprint matching based on global alignment of multiple reference minutiae. Pattern Recognition 38, 1685–1694 (2005)CrossRefGoogle Scholar
  4. 4.
    Jiang, X., Yau, W.-Y.: Fingerprint minutiae matching based on the local and global structures. In: ICPR 2000, vol. 2, pp. 1038–1041 (2000)Google Scholar
  5. 5.
    He, Y., Tian, J.: Fingerprint Matching Based on Global Comprehensive Similarity. IEEE Trans. PAMI 28(6), 850–862 (2006)Google Scholar
  6. 6.
    Bazen, A.M., Gerez, S.H.: Fingerprint matching by thin-plate spline modeling of elastic deformations. Pattern Recognition 36, 1859–1867 (2003)CrossRefGoogle Scholar
  7. 7.
    Chikkerur, S., Govindaraju, V., Cartwright, A.N.: K-plet and Coupled BFS: A Graph Based Fingerprint Representation and Matching Algorithm. In: ICB 2006 (2006)Google Scholar
  8. 8.
    Liang, X., Asano, T.: Fingerprint Matching Using Minutia Polygons. In: ICPR 2006, vol. 1, track 4, Mon-O-IV-2 (2006)Google Scholar
  9. 9.
    Fingerprint Verification Competition: (FVC 2004) (2004), http://bias.csr.unibo.it/fvc2004
  10. 10.
    Cappelli, R., Maio, D., Maltoni, D., Wayman, J., Jain, A.K.: Performance Evaluation of Fingerprint verification systems. IEEE Trans. PAMI 28(1), 3–18 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Wenquan Xu
    • 1
  • Xiaoguang Chen
    • 1
  • Jufu Feng
    • 1
  1. 1.State Key Laboratory on Machine Perception, Center for Information Science, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871P.R. China

Personalised recommendations