• DocumentCode
    1823245
  • Title

    Beyond classical biometrics: When using hidden biometrics to identify individuals

  • Author

    Nait-Ali, Amine

  • Author_Institution
    Lab. Images, Univ. Paris-Est Creteil (UPEC), Creteil, France
  • fYear
    2011
  • fDate
    4-6 July 2011
  • Firstpage
    241
  • Lastpage
    246
  • Abstract
    The aim of this invited paper is to discuss some emerging biometric approaches that are currently under consideration. After presenting the state of the art, including some advanced techniques, the idea of using some specific medical data for the purpose of identifying individuals is considered. This type of biometrics is called hidden biometrics. Its main advantage is its robustness regarding any potential forgeries. For example, when dealing with brain Magnetic Resonance (MR) images as a biometric tool, no one can modify deliberately features of his own brain even if these features can change over the time in case of pathological individuals, or during the growth period (not considered in this study). In particular, a special interest is given to brain MRI and X-Ray based biometrics. Some examples using brain MRI images, Hand and Lung X-Ray are highlighted in this paper.
  • Keywords
    biomedical MRI; biometrics (access control); brain; diagnostic radiography; hidden feature removal; lung; medical image processing; X-ray based biometrics; brain MRI; brain magnetic resonance images; hand X-ray; hidden biometrics; lung X-ray; medical data; Biomedical imaging; Biometrics; Feature extraction; Forgery; Magnetic resonance imaging; Veins; X-ray imaging; Biometrics; MRI s; X-Ray; hidden biometrics; identification; medical data; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Information Processing (EUVIP), 2011 3rd European Workshop on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4577-0072-9
  • Type

    conf

  • DOI
    10.1109/EuVIP.2011.6045559
  • Filename
    6045559