Human Vein Pattern Segmentation from Low Quality Images – A Comparison of Methods

  • Rafał Kabaciński
  • Mateusz Kowalski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 84)


In this paper we propose two methods of human vein pattern segmentation from low quality images, called frequency high pass filtration and local minima analysis, witch are compared with the often used local thresholding algorithm. These methods are evaluated using manually assigned bifurcation points which is also proposed in this paper. Evaluation was carried out on 480 collected images, and shows that proposed methods are worth to consider in human vein pattern segmentation.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ratha, N.K., Senior, A., Bolle, R.M.: Tutorial on automated biometrics. In: Proc. Int. Conf. Advances in Pattern Recognition, Rio de Janeiro, Brazil (2001)Google Scholar
  2. 2.
    Wang, L., Leedham, G., Cho, S.-Y.: Infrared imaging of hand vein patterns for biometric purposes. IET Comput. Vis. 1(3-4) (2007)Google Scholar
  3. 3.
    Tadeusiewicz, R., Korohoda, P.: Komputerowa anliza i przetwarzanie sygnałów. Wydawnictwo Fundacji Postȩpu Telekomunikacji, Kraków (1997)Google Scholar
  4. 4.
    Lam, L., Lee, S.-W., Suen, C.Y.: Thinning Methodologies - A Comprehensive Survey. IEEE Transactions On Pattern Analysis And Machine Inteligence 14(9), 879 (1992)Google Scholar
  5. 5.
    Shahin, M., Badawi, A., Kamel, M.: Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns. International Journal of Biological and Life Sciences (2006)Google Scholar
  6. 6.
    Lopes, H.S., Coutinho, M.S., Lima, W.C.: An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain. In: Genetic Algorithms and Fuzzy Logic Systems, pp. 193–207. World Scientific, Singapore (1997)Google Scholar
  7. 7.
    Altman, D.G., Bland, J.M.: Diagnostic tests 2: Predictive values. British Medial Journal 309(6947), 102 PMID 8038641 (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rafał Kabaciński
    • 1
  • Mateusz Kowalski
    • 1
  1. 1.Intitute of Control and Information EngineeringPoznan University of TechnologyPoznań

Personalised recommendations