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Hand Vein Biometric Recognition Using Local Binary Pattern

  • Koushlendra Kumar SinghEmail author
  • Arun Mishra
  • Anirudh Deep
  • Ashav Kumar
  • Bindesh Kumar
Conference paper
  • 82 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1192)

Abstract

The study of physical or behavioral characteristics utilized for the identification of a human being is called biometric. Dorsal hand vein biometric traits have been used for biometric identification in present manuscript. First of all, Input dorsal hand vein image is preprocessed in proposed approach. The feature is extracted from preprocessed image using Orientation of Local Binary Pattern (OLBP) in binary format. Hamming distance is used for matching of features in proposed approach. Proposed approach has been tested on dataset of 600 vein images collected from 50 people.

Keywords

Dorsal hand vein Feature extraction Hamming distance Local Binary Pattern (LBP) 

References

  1. 1.
    Subramanian, R.K.: Low dimensional representation of dorsal hand vein features using principle component analysis (PCA). World Acad. Sci. Eng. Technol. Int. J. Comput. Electr. Autom. Control Inf. Eng. 3, 1 (2009)Google Scholar
  2. 2.
    Lin, C.-L., Fan, K.-C.: Biometric verification using thermal images of palm dorsal vein patterns. IEEE Trans. Circ. Syst. Video Technol. 14(2), 199–213 (2004)CrossRefGoogle Scholar
  3. 3.
    Lee, J.-C., Lee, C.-H., Hsu, C.-B., Kuei, P.-Y., Chang, K.-C.: Dorsal hand vein recognition based on 2D Gabor filters. Imag. Sci. J. 62(3), 127–138 (2013) CrossRefGoogle Scholar
  4. 4.
    Li, X., Huang, D., Zhang, R., Wang, Y., Xie, X.: Dorsal hand vein recognition based on Width Skeleton Models, State Key Laboratory of Software Development Environment, Beihang University, Beijing (2016)Google Scholar
  5. 5.
    Nadiya, K., Gopi, V.P.: Dorsal hand vein recognition based on Orientation of Local Binary Pattern, 1077 - Computational Intelligence for Multimodal Biomedical Imaging (2015)Google Scholar
  6. 6.
    Wan, H., Song, H., Chen, L., Yang, J.: Dorsal hand vein recognition based on Convolutional Neural Network (CNN). In: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2017)Google Scholar
  7. 7.
    Ajay Kumar, K., Prathyusha, V.: Personal authentication using hand vein Triangulation and Knuckle Shape extraction. IEEE Trans. Image Process. 18(9), 2127–2136 (2009)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Wang, Y., Zhang, K., Shark, L.-K.: Personal identification based on multiple key point sets of dorsal hand vein images. IET Biometrics 3(4), 234–245 (2014)CrossRefGoogle Scholar
  9. 9.
    Khan, M.H.-M., Khan, N.M.: Dorsal hand vein biometric using independent component analysis. In: 6th International Conference on Internet Technology and Secured Transactions, pp. 191–195 (2011)Google Scholar
  10. 10.
    Zhon, D., Shao, H., Liu, S.: Towards application of dorsal hand vein reconition under uncontrolled environment based on biometric graph matching. IET Biometrics 8(2), 159–187 (2019)CrossRefGoogle Scholar
  11. 11.
    Gupta, P., Gupta, P.: Multibiometric authentication system using slap fingerprints, palm Dorsal vein and Hand geometry. IEEE Trans. Ind. Electron. 66(2), 9777–9784 (2018)CrossRefGoogle Scholar
  12. 12.
    Huang, D., Tang, Y., Wang, Y., Chen, L., Wang, Y.: Hand-Dorse vein recognition by matching local features of multisource keypoints. IEEE Trans. Cybern. 45(9), 1823–1837 (2015)CrossRefGoogle Scholar
  13. 13.
    Singh, K.K., Bajpai, M.K., Pandey, R.K.: Reconstruction of original signal from contaminated signal using fractional order differentiator. In: IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 274–278 (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Koushlendra Kumar Singh
    • 1
    Email author
  • Arun Mishra
    • 1
  • Anirudh Deep
    • 1
  • Ashav Kumar
    • 1
  • Bindesh Kumar
    • 1
  1. 1.Department of Computer Science and EngineeringNational Institute of Technology JamshedpurJamshedpurIndia

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