• DocumentCode
    3038164
  • Title

    Ear based attendance monitoring system

  • Author

    Jawale, Jitendra B. ; Bhalchandra, Anjali S.

  • Author_Institution
    E&TC DEPT., Army Inst. Of Technol., Pune, India
  • fYear
    2011
  • fDate
    23-24 March 2011
  • Firstpage
    724
  • Lastpage
    727
  • Abstract
    Ear is a new class of relative stable biometrics that is invarent from childhood to early old age. It is not affected with facial expression, cosmetics and eye glasses. Now a days biometric systems play a significant role in almost all the security aspects. As it uses human traits for the identification purpose which cannot be stolen or lost, they are proving to be a better solution than pins and passwords. Automating identification through biometrics especially face and iris recognition have been extensively studied in machine vision An alternative to this is ear biometrics. It has been seen that finding two ears which are completely identical is almost impossible and ear does not change much with time, Moreover, ear satisfies all the properties that should be possessed by a biometric.
  • Keywords
    biometrics (access control); computerised monitoring; edge detection; feature extraction; attendance monitoring system; ear biometrics; face recognition; human identification purpose; iris recognition; machine vision; Databases; Ear; Face; Feature extraction; Image edge detection; Iris recognition; Ear biometrics; MICROSOFT ACCESS; ODBC; database Visual Query Builder (VQB); feature vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
  • Conference_Location
    Tamil Nadu
  • Print_ISBN
    978-1-4244-7923-8
  • Type

    conf

  • DOI
    10.1109/ICETECT.2011.5760212
  • Filename
    5760212