• DocumentCode
    3456214
  • Title

    Coding Gabor Features for Multi-Modal Biometrics

  • Author

    Shen, Linlin ; Ji, Zhen ; Li, Yuwen ; Bai, Li

  • Author_Institution
    Shenzhen Key Lab. of Embedded Syst. Design, Shenzhen Univ., Shenzhen, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Two fusion cases, face & palmprint and FKP & palmprint were taken as examples to verify the effectiveness. Experimental results show that much better performance than single modal biometrics has been achieved.
  • Keywords
    Gabor filters; biometrics (access control); feature extraction; image coding; image fusion; image recognition; Gabor feature coding; decision level fusion strategy; fusion code; hand based biometric; multimodal biometric; palmprint; personal identification; Accuracy; Biomedical imaging; Biometrics; Databases; Face; Feature extraction; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659155
  • Filename
    5659155