• DocumentCode
    3022685
  • Title

    Multi-Modal Biometrics Involving the Human Ear

  • Author

    Middendorff, C. ; Bowyer, K.W. ; Ping Yan

  • Author_Institution
    Univ. of Notre Dame, Notre Dame
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Due to its semi-rigid shape and robustness against change over time, the ear has become an increasingly popular biometric feature. It has been shown that combining individual biometric methods into multi-biometric systems improves recognition. What features should be used, how they should be captured, what algorithms should be used, and how they should be combined are all open questions. In this paper, we discuss several existing methods of combination and the recognition rates of each.
  • Keywords
    biometrics (access control); ear; feature extraction; image recognition; human ear; multibiometric systems; multimodal biometrics; recognition rates; Biometrics; Ear; Face recognition; Humans; Image recognition; Neural networks; Principal component analysis; Robustness; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383521
  • Filename
    4270519