Human Vein Pattern Correlation - A Comparison of Segmentation Methods

  • Rafał Kabaciński
  • Mateusz Kowalski
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)


In this paper two methods of human vein pattern segmentation from low quality images, called frequency high-pass filtration and local minima analysis, proposed by authors in their previous article are compared with the often used local thresholding algorithm. These methods are evaluated using results of classification performed by a correlation algorithm. Evaluation was carried out on 400 collected images, and shows that proposed methods are worth to consider in human vein pattern segmentation.


Discrete Fourier Transformation Segmentation Method False Acceptance Rate False Rejection Rate Vein Pattern 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rafał Kabaciński
    • 1
  • Mateusz Kowalski
    • 1
  1. 1.Institute of Control and Information EngineeringPoznan University of TechnologyPoznańPoland

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