• DocumentCode
    3481172
  • Title

    An overview of multi-modal biometrics based on face and ear

  • Author

    Zhang, Haijun ; Huang, Zengxi ; Li, Yibo

  • Author_Institution
    Colledge of Autom., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1705
  • Lastpage
    1709
  • Abstract
    Unimodal biometric systems contend with a variety of problems such as noisy data, restricted degrees of freedom, non-universality and spoof attacks. Some of these limitations can be overcome by employing multi-modal biometric identification technologies. The paper discusses a new multi-modal biometrics based on face and ear. The research significance of multi-modal biometrics based on face and ear will be represented first, then we introduce some researchers´ achievements and inadequacies. We also propose further exploration and research in this area.
  • Keywords
    biometrics (access control); face recognition; security of data; ear recognition technologies; face recognition technologies; multimodal biometric identification technologies; personal identification methods; unimodal biometric system; Automation; Biometrics; Ear; Face recognition; Fingerprint recognition; Humans; Image recognition; Iris; Robustness; Security; Multi-modal biometrics; face and ear; non-intrusive; unimodal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262697
  • Filename
    5262697