Skip to main content

Invariant Feature Extraction for Finger Vein Matching Using Fuzzy Logic Inference

  • Conference paper
  • First Online:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Finger vein is a new member in the biometrics family. In the recent years, as a biometric trait finger vein has been achieved success and attracted lots of attention from the researchers. Current finger vein recognition algorithms provide high accuracy in good quality images. Most of the finger vein recognition systems utilize based on minutiae points. In this paper, we propose a method for finger vein matching using scale-invariant feature transformation (SIFT) key points which are determining the rules using fuzzy inference system and the matching scores are delivered by Euclidean distance. The fuzzy logic system provides the more adequate description of the proposed algorithm. The algorithm has been formulated based on SIFT key points which examine n number of images. MATLAB 7:14:0 is used to implement this technique.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Aziz, W.N., Kamaruzzaman Seman, I.A., Mohd, M.N.S.: Finger vein minutiae points extraction based on maximum curvature points in image profile and finger print application methods. Aust. J. Basic Appl. Sci. 7, 751–756 (2013)

    Google Scholar 

  2. Cao, D., Yang, J., Shi, Y., Xu, C.: Structure feature extraction for finger-vein recognition. In: 2nd IAPR Asian Conference on Pattern Recognition, pp. 567–571, (2013)

    Google Scholar 

  3. Gupta, P., Gupta, P.: An accurate finger vein based verification system. Digital Signal Process. 384–352 (2015)

    Google Scholar 

  4. Kauba, C., Uhl, A.: Sensor ageing impact on finger-vein recognition. In: IEEE International Conference on Biometrics, pp. 113–120 (2015)

    Google Scholar 

  5. Kono, M., Ueki, H., Umemura, S.: A new method for the identification of individuals by using of vein pattern matching of a finger. In: 5th Symposium on Pattern Measurement, pp. 9–12(2000)

    Google Scholar 

  6. Lee, J., Ahmadi, M., Ko, K.W., Lee, S.: Development of identification system using the image of finger vein. Adv. Sci. Technol. Lett. 93:, 44–48 (2015)

    Google Scholar 

  7. Lee, K.H.: First course on fuzzy theory and applications. Springer Science and Business Media (2006)

    Google Scholar 

  8. Liu, F., Yang, G., Yin, Y., Wang, S.: Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing 145, 75–89 (2014)

    Google Scholar 

  9. Liukui, C., Hong, Z.: Finger vein image recognition based on tri-value template fuzzy matching. In: 9th WSEAS International Conference on Multimedia Systems and Signal Processing, pp. 206–211 (2009)

    Google Scholar 

  10. Miura, N., Nagasaka, A., Miyatake, T.: Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Mach. Vis. Appl. 15, 194–203 (2004)

    Google Scholar 

  11. Pang, S., Yin, Y., Yang, G., Li, Y.: Rotation invariant finger vein recognition. Biometric Recognition, pp. 151–156. Springer Berlin, Heidelberg (2012)

    Google Scholar 

  12. Peng, J., Wang, N., El-Latif, A.A.A., Li, Q., Niu, X.: Finger-vein verification using Gabor filter and sift feature matching. In: Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 45–48 (2012)

    Google Scholar 

  13. Sivanandam, S.N., Sumathi, S., Deepa, S.N.: Introduction to fuzzy logic using MATLAB, p. 1. Springer, Berlin (2007)

    Google Scholar 

  14. Song, W., Kim, T., Kim, H. C., Choi, J.H., Kong, H.J., Lee, S.R.: A finger-vein verification system using mean curvature. Pattern Recogn. Lett. 32, 1541–1547 (2011)

    Google Scholar 

  15. Xian, R., Ni, L., Li, W.: The ICB-2015 competition on finger vein recognition. IEEE Int. Conf. Biometrics 85–89 (2015)

    Google Scholar 

  16. Yanagawa, T., Aoki, S., Ohyama, T.: Human finger vein images are diverse and its patterns are useful for personal identification. MHF Preprint Series, Kyushu University, pp. 1–7 (2007)

    Google Scholar 

  17. Yang, J., Shi, Y., Yang, J., Jiang, L.: A novel finger-vein recognition method with feature combination. In: 16th IEEE International Conference on Image Processing, pp. 2709–2712 (2009)

    Google Scholar 

  18. Yang, Y., Yang, G., Wang, S.: Finger vein recognition based on multi-instance. Int. J. Digital Content Technol. Appl. 6 (2012)

    Google Scholar 

  19. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manickam Adhiyaman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Devarasan Ezhilmaran, Manickam Adhiyaman (2016). Invariant Feature Extraction for Finger Vein Matching Using Fuzzy Logic Inference. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_13

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0451-3_13

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics