Skip to main content
SpringerLink
Log in

Evaluating the Change of Directional Patterns for Fingerprints with Missing Singular Points Under Rotation

  • Conference paper
  • First Online:
Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10073))

Included in the following conference series:

Abstract

Overcoming small inter-class variation when fingerprints have missing singular points (SPs) is one of the current challenges faced in fingerprint classification, since class information is scarce. Grouping the orientation fields to form Directional Patterns (DPs) shows potential in classifying these fingerprints. However, DPs change under rotation. This paper evaluates the change of DPs for fingerprints with missing SPs to determine a method of rotation that produces unique DPs for a Whorl (\( W \)) with a single loop and a single delta; a Right Loop (\( RL \)), Left Loop (\( LL \)), Tented Arch (TA) and a \( W \) with a single loop; a \( RL \) and \( LL \) with a single delta; and lastly a Plain Arch (\( PA \)) and a Partial Fingerprint (\( PF \)) with no SPs. The proposed method of rotation is based on the remaining SPs and achieves a manual classification accuracy of 91.72% on the FVC 2002 and 2004 DB1, and FVC 2004 DB2.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Dorasamy, K., Webb, L., Tapamo, J.: Evaluation of the changes in directional patterns under the variation of rotation and number of regions. In: IEEE International Conference of the Biometrics Special Interest Group, Darmstadth, pp. 1–8. IEEE (2015)

    Google Scholar 

  2. Dorasamy, K., Webb, L., Tapamo, J., Khanyile, N.: Fingerprint classification using a simplified rule-set based on directional patterns and singularity features. In: 8th IAPR International Conference on Biometrics, Phuket, Thailand, vol. 2, pp. 400–407. IEEE (2015)

    Google Scholar 

  3. Liu, L., Huang, C., Hung, D.C.D.: Directional approach to fingerprint classification. Int. J. Pattern Recognit. Artif. Intell. 22, 347–365 (2008)

    Article  Google Scholar 

  4. Guo, J., Liu, Y., Chang, J., Lee, J.: Fingerprint classification based on decision tree from singular points and orientation field. Expert Syst. Appl. 41, 752–764 (2014)

    Article  Google Scholar 

  5. Dass, S., Jain, A.K.: Fingerprint classification using orientation field flow curves. In: Indian Conference Computer Vision, Graphics Image Processing, pp. 650–655 (2004)

    Google Scholar 

  6. Webb, L., Mathekga, M.: Towards a complete rule-based classification approach for flat fingerprints. In: 2014 Second International Computing and Networking, Pretoria, South Africa, pp. 549–555. IEEE (2014)

    Google Scholar 

  7. Msiza, I.S., Leke-Betechuoh, B., Nelwamondo, F.V., Msimang, N.: A fingerprint pattern classification approach based on the coordinate geometry of singularities. In: Proceedings of the 2009 IEEE International Conference Systems Man and Cybernetics, San Antonio, TX, USA, pp. 510–517. IEEE Computuer Society (2009)

    Google Scholar 

  8. Karu, K., Jain, A.K.: Fingerprint classification. Pattern Recognit. 29, 389–404 (1996)

    Article  Google Scholar 

  9. Galar, M., Derrac, J., Peralta, D., Triguero, I., Paternain, D., Lopez-Molina, C., García, S., Benítez, J.M., Pagola, M., Barrenechea, E., Bustince, H., Herrera, F.: A survey of fingerprint classification part II: experimental analysis and ensemble proposal. Knowl.-Based Syst. 81, 98–116 (2015)

    Article  Google Scholar 

  10. Wang, L., Bhattacharjee, N., Gupta, G., Srinivasen, B.: Adaptive approach to fingerprint image enhancement. In: Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia, pp. 42–49. ACM (2010)

    Google Scholar 

  11. Hong, L., Wan, Y., Jain, A.: Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20, 777–789 (1998)

    Article  Google Scholar 

  12. Maio, D., Maltoni, D., Cappelli, R., Wayman, J., Jain, A.: FVC2002: second fingerprint verification competition (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CSIR, Modelling and Digital Science, P.O. Box 395, Pretoria, 0001, South Africa

    Kribashnee Dorasamy & Leandra Webb-Ray

  2. School of Engineering, UKZN, King George V Avenue, Durban, 4041, South Africa

    Kribashnee Dorasamy & Jules-Raymond Tapamo

Authors
  1. Kribashnee Dorasamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Leandra Webb-Ray
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jules-Raymond Tapamo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kribashnee Dorasamy .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University, O’Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs, Redwood City, California, USA

    Sandra Skaff

  7. University of Florida, Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc., Mountain View, California, USA

    Jianyuan Min

  9. Osaka University, Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute, Monterey, California, USA

    Amela Sadagic

  11. University of Arizona, Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud, Orsay, France

    Tobias Isenberg

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Dorasamy, K., Webb-Ray, L., Tapamo, JR. (2016). Evaluating the Change of Directional Patterns for Fingerprints with Missing Singular Points Under Rotation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50832-0_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50831-3

  • Online ISBN: 978-3-319-50832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation