• DocumentCode
    599597
  • Title

    2D human-ear recognition using geometric features

  • Author

    Polin, Md Zahid Hasan ; Kabir, A. N. M. Enamul ; Sadi, Muhammad Sheikh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioural traits. Finding good biometric features and recognition methods has been researched extensively in recent years. Among several biometric features ear is quite stable because it does not vary with age and emotion. However, very few researches have been accomplished with this biometric. Hence, this paper proposes a new approach to recognize 2d human ear based on height of ear, reference line cut point and corresponding angles. Experimental study shows that this paper has a greater accuracy then existing dominant approach.
  • Keywords
    biometrics (access control); feature extraction; image recognition; 2D human ear recognition; biometric feature; biometric recognition method; ear height; geometric feature; Biometrics (access control); Ear; Face; Feature extraction; Image edge detection; Support vector machine classification; Vectors; Biometrics; Ear Recognition; Ear height line; Reference line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1434-3
  • Type

    conf

  • DOI
    10.1109/ICECE.2012.6471471
  • Filename
    6471471