Skip to main content
SpringerLink
Log in
Book cover

Chinese Conference on Biometric Recognition

SINOBIOMETRICS 2004: Advances in Biometric Person Authentication pp 432–438Cite as

A New Approach for Fingerprint Minutiae Extraction

  • Conference paper

  • 2232 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3338))

Abstract

Minutiae extraction is a critical step in fingerprint identification, so it is important to find a proper approach to extract minutiae. In this paper, we propose a new method which extracts minutiae via principal curves. At first, we get a group of principal curves which reflect the structural features of the fingerprint; then we extract minutiae of fingerprint from these principal curves. From the result of experiment, we conclude that this new approach is feasible.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hastie, T.: Principal Curves and surfaces. Dissertation for Ph.D. Stanford University (1984)

    Google Scholar 

  2. Kegl, B.: Principal Curves: Learning, Design, and Applications. Dissertation for Ph.D. Concordia University (1999)

    Google Scholar 

  3. Hong, L.: Automatic personal identification using fingerprints. Dissertation for Ph.D. Michigan State University (1998)

    Google Scholar 

  4. Ratha, N.K., Chen, S., Jain, A.K.: Adaptive flow orientation based feature extraction fingerprint images. Pattern Recognition 28(11), 1657–1672 (1995)

    Article  Google Scholar 

  5. junping, Z., jue, W.: A overview of principal curves. Chinese journal of computer 26(2), 129–146 (2003)

    Google Scholar 

  6. Yilong, Y., Xinbao, N., Xiaomei, Z.: An improved algorithm for minutiae extraction in fingerprint images. Journal of Image and Graphics 7(12), 1302–1306 (2002)

    Google Scholar 

  7. Xiong, Z., Guiming, H.: Fingerprint feature extraction and classification based on Macroscopic Curvature. Journal of computer research and development 40(3), 453–458 (2003)

    Google Scholar 

  8. Luo, X., Tian, J., Wu, Y.: A Minutia Matching algorithm in Fingerprint Verification. In: 15th ICPR, Barcelona, vol. 4, pp. 833–836 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Tongji University, Shanghai, 200092, P.R. China

    Qingshi Tang, Duoqian Miao & Wenjie Fu

Authors
  1. Qingshi Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Duoqian Miao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wenjie Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. Department of Electronics & Communication Engineering, Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Center of Computer Vision, School of Mathematics and Computing Science, Sun Yat-sen University, 510275, Guangzhou, China

    Guocan Feng

  5. School of Computer Science and Engineering, Beihang University, Beijing, China

    Yunhong Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tang, Q., Miao, D., Fu, W. (2004). A New Approach for Fingerprint Minutiae Extraction. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30548-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24029-7

  • Online ISBN: 978-3-540-30548-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation