• DocumentCode
    582967
  • Title

    Palmprint Matching Using LBP

  • Author

    Promila ; Laxmi, V.

  • Author_Institution
    Dept. of Comput. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
  • fYear
    2012
  • fDate
    14-15 Sept. 2012
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    Automatic person verification has become a crucial problem in networked society. Providing authorized access to a person is a challenging task. To resolve all these issues, biometrics has emerged as an important and effective solution. Although many biometrics have been proposed, public acceptability and privacy concerns remain a block to implementation in public services. Another concern is computational overhead in real-time scenario. This paper discusses a new method and its related analysis that based on palm print verification using local binary pattern (LBP) to capture the palm print texture. Experimental results demonstrate that this technique is simple, highly accurate and takes less time to process the palm print image.
  • Keywords
    data privacy; image matching; palmprint recognition; statistical analysis; Chi-square dissimilarity test; LBP; Pearson correlation similarity test; automatic person verification; biometrics; local binary pattern; networked society; palm print image; palm print texture; palm print verification; palmprint matching; privacy concerns; public acceptability; real-time scenario; Accuracy; Biometrics (access control); Correlation; Databases; Error analysis; Feature extraction; Histograms; Chi-squared test; Classification; Local Binary Pattern; Palmprint; Pearson´s correlation test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Sciences (ICCS), 2012 International Conference on
  • Conference_Location
    Phagwara
  • Print_ISBN
    978-1-4673-2647-6
  • Type

    conf

  • DOI
    10.1109/ICCS.2012.55
  • Filename
    6391656