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)

Summary

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.

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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

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