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An Improved Method of Identification Based on Thermal Palm Vein Image

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7664)

Abstract

Biological characteristics based on face, fingerprint and iris images have been extensively studied and used for the identification in the past few decades. As a new-born method, thermal palm vein pattern is gathering more and more attention all over the world. An improved method of identification based on thermal palm vein image is presented in the paper. Five steps are needed to have a person verified: 1) acquisition of infrared palm vein image; 2) detection of ROI (region of interest); 3) enhancement of the palm vein image; 4) features extraction of the palm vein patterns; 5) matching the features between the real palm vein and sample data. Experiments have been carried out on 178 different images and 176 images of them are correctly recognized with two in failure. Experiments show the detection rate is satisfied.

Keywords

  • Thermal Vein
  • Biological Identification
  • Gabor wavelet

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, R., Wang, G., Chen, Z., Liu, J., Shi, Y. (2012). An Improved Method of Identification Based on Thermal Palm Vein Image. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-34481-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34480-0

  • Online ISBN: 978-3-642-34481-7

  • eBook Packages: Computer ScienceComputer Science (R0)