• DocumentCode
    3542966
  • Title

    The eye says it all: Periocular region methodologies

  • Author

    Ambika, D.R. ; Radhika, K.R. ; Seshachalam, D.

  • Author_Institution
    BMS Coll. of Eng., Bangalore, India
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    In the field of secure communication, an explosive growth is observed in biometric personal authentication and recognition systems for the last few decades. Biometric system involves establishing the human identity based on a physical or behavioral trait. In the recent studies, various biometric traits including face, iris, ear, gait, palm and knuckle joints have been investigated. Inaccuracy due to noisy sensor data, intra class variation and susceptibility to spoofing attacks evaluate the performance of these biometric systems. Human periocular region is known to be one of the most discriminative regions of the face. The periocular region is rich in texture and is quantified as a useful biometric trait. Acquisition of the periocular region requires less subject cooperation compared to other ocular biometric traits. The field of periocular biometrics includes enormous research and is currently gaining importance. In the paper an attempt has been made to present an insight of different periocular region methodologies.
  • Keywords
    face recognition; feature extraction; image texture; iris recognition; message authentication; biometric personal authentication; biometric recognition systems; biometric traits; communication security; feature extraction; human periocular region; image texture; knuckle joints; noisy sensor data; ocular biometric traits; spoofing attacks; Face; Feature extraction; Force; Histograms; Image color analysis; Iris recognition; Support vector machines; Periocular region; classifiers; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2012 International Conference on
  • Conference_Location
    Tangier
  • Print_ISBN
    978-1-4673-1518-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2012.6320240
  • Filename
    6320240