Skip to main content
SpringerLink
Log in

Fingerprint Orientation Field Estimation Using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering)

  • Conference paper
  • First Online:
Distributed Computing and Artificial Intelligence, 13th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

  • 1642 Accesses

Abstract

The goal of this paper is to offer a joined approach in fingerprint orientation field estimation, integrating some of the most known techniques like ridge orientation estimation and image filtering, both tested using images from local and public databases. We propose a reliable orientation estimation algorithm [6] and anisotropic image filtering in this paper. To show the applied theory experimental results, we use Matlab for our implementation of the above algorithms. The investigation results showed robustness improving the correct estimation of the fingerprint ridge orientation process.

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

Access this chapter

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: FVC2004 database DB2. Handbook of Fingerprint Recognition, 2nd edn. Springer, London (2009)

    Google Scholar 

  2. Zhu, E., Yin, J., Hu, C., Zhang, G.: A systematic method for fingerprint ridge orientation estimation and image segmentation. Pattern Recognition (2006)

    Google Scholar 

  3. Weickert, J.: Anisotropic Diffusion in Image Processing, B.G. Teubner Stuttgart (1998)

    Google Scholar 

  4. Lee, K.-C., Prabhakar, S.: Probabilistic Orientation Field Estimation for Fingerprint Enhancement and Verification. In: Biometrics Symposium (2008)

    Google Scholar 

  5. Hong, L., Wan, Y., Jain, A.K.: Fingerprint image enhancement: Algorithm and performance evaluation. IEEE Trans. Pattern Analysis. Machine Intelligence (1998)

    Google Scholar 

  6. Liu, L., Dai, T.-S.: A Reliable Fingerprint Orientation Estimation Algorithm (2011)

    Google Scholar 

  7. Nitika, Gill, N.S.: Fingerprint Recognition Techniques: A Critical Review. International Journal of Computer Science and Management Studies (2013)

    Google Scholar 

  8. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. University of California (1990)

    Google Scholar 

  9. Ratha, N.K., Chen, S.Y., Jain, A.K.: Adaptive flow orientation-based feature extraction in fingerprint images. Pattern Recognition (1995)

    Google Scholar 

  10. Ram, S.: Fingerprint Ridge Orientation Modeling, Graz University of Technology Institute for Computer Graphics and Vision (2008)

    Google Scholar 

  11. UPEK Fingerprint Database, April 12, 2012. http://www.advancedsourcecode.com/PNGfingerprint.rar

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Salamanca, Plaza de los Caídos, 37008, Salamanca, Spain

    Marco Antonio Ameller Flores & Angélica González Arrieta

Authors
  1. Marco Antonio Ameller Flores
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Angélica González Arrieta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marco Antonio Ameller Flores .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Flores, M.A.A., Arrieta, A.G. (2016). Fingerprint Orientation Field Estimation Using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering). In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-40162-1_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation