• DocumentCode
    707598
  • Title

    Optimal Local Direction Binary pattern based palmprint recognition

  • Author

    Dubey, Pawan ; Kanumuri, Tirupathiraju

  • Author_Institution
    Jaypee Univ. of Eng. & Technol., Guna, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    1979
  • Lastpage
    1984
  • Abstract
    This paper presents a novel palmprint recognition scheme which utilizes directional representation of Anisotropic Filters (AFs) optimally followed by Local Binary Pattern (LBP) called Optimal Local direction Binary patterns (OLdirBP). Optimal orientation image from different orientation can be excavated by opting orientation corresponding to maximum of summed value of convoluted responses between local directional patterns of size 3×3 and AF filtered responses, then Micro pattern representation is obtained by LBP descriptor. New OLdirBP scheme enhances robustness to illumination variations and extort discriminative information from palmprint along different orientations with low computational complexity. Experimental results demonstrates efficacy of the proposed scheme and achieves EER 0.907% and GAR 99.13 %.
  • Keywords
    Gabor filters; image filtering; image representation; lighting; palmprint recognition; Gabor filter; LBP descriptor; OLdirBP scheme; directional anisotropic filter representation; discriminative information extortion; illumination variations; low computational complexity; micro pattern representation; optimal local direction binary pattern based palmprint recognition system; optimal orientation image; Biometrics (access control); Databases; Gabor filters; Image recognition; Matched filters; Pattern recognition; Robustness; Anisotropic filter (AF); Biometrics; Gabor filter; LBP; Optimal local directional binary pattern (OLdirBP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100588