Machine Vision and Applications

, Volume 15, Issue 4, pp 194–203 | Cite as

Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification

  • Naoto Miura
  • Akio Nagasaka
  • Takafumi Miyatake


We propose a method of personal identification based on finger-vein patterns. An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. The proposed method extracts the finger-vein pattern from the unclear image by using line tracking that starts from various positions. Experimental results show that it achieves robust pattern extraction, and the equal error rate was 0.145% in personal identification.


Personal identification Biometrics Finger vein Feature extraction Line tracking 


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Copyright information

© Springer-Verlag Berlin/Heidelberg 2004

Authors and Affiliations

  1. 1.HITACHI, Ltd.TokyoJapan

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