• DocumentCode
    1776302
  • Title

    An improved algorithm for efficient iris based system

  • Author

    Singh, Neeraj Kumar

  • Author_Institution
    Dept. of ECE, SLIET, Sangrur, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    604
  • Lastpage
    607
  • Abstract
    Nowadays, many applications require authentication to identify human before giving access to the resources. With new advances in technology, biometric technique of human authentication, which uses the human iris pattern, is well suited. Biometrics intends to identify a user by his/her physical and or/ behavioural characteristics. Among all biometric techniques, Iris recognition stands out as its error rates are lowest. Iris recognition includes eye imaging, localization, normalization, verification etc. This paper presents an overview of the fundamentals of biometric identification and tries to find out the effect of masking the normalized iris image on recognition rates.
  • Keywords
    error statistics; iris recognition; message authentication; behavioural characteristics; biometric identification; biometric techniques; biometrics; error rates; eye imaging; eye localization; eye normalization; eye verification; human authentication; human iris pattern; iris based system; iris recognition; normalized iris image; recognition rates; Authentication; Feature extraction; Gabor filters; Image edge detection; Iris; Iris recognition; Authentication; Biometrics; FAR; FRR; Iris;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993033
  • Filename
    6993033