• DocumentCode
    2368982
  • Title

    Image compact formats of iris samples for interoperability in biometric systems

  • Author

    Sanchez-Reillo, Raul ; Liu-Jimenez, Judith ; Lorenz, Michael G. ; Mengibar-Pozo, Luis

  • Author_Institution
    Dept. Electron. Technol., Univ. Carlos III of Madrid, Leganes
  • fYear
    2008
  • fDate
    13-16 Oct. 2008
  • Firstpage
    198
  • Lastpage
    205
  • Abstract
    In order to lower data storage requirements for ID tokens or databases, compact formats are needed in any biometric modality. As there is no morphological parameters that could help in reducing data, as it happens with minutiae in fingerprints, iris needs a data reduction at the raw image level. This is becoming quite a controversial issue among this technology community. Two major approaches are suggested. The first one is using cropped sub-images of the sample acquired. The second one is using a polar representation of the iris. This paper reflects one of the parallel works that is been carried out in order to achieve such a compact format. Authors have studied several representations from both approaches. They have analyzed data size requirements and processing time, while some important remarks about interoperability are given.
  • Keywords
    biometrics (access control); data reduction; eye; image recognition; image representation; image sampling; open systems; security of data; visual databases; biometric system security; data reduction; data storage requirement; image compact format; interoperability; iris polar representation; iris sample; raw image level; sub-image cropping; Biometrics; Databases; Fingerprint recognition; IEC standards; ISO standards; Interpolation; Iris; Manufacturing; Standardization; Testing; Image cropping; Interoperability; Iris data format; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2008. ICCST 2008. 42nd Annual IEEE International Carnahan Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4244-1816-9
  • Electronic_ISBN
    978-1-4244-1817-6
  • Type

    conf

  • DOI
    10.1109/CCST.2008.4751302
  • Filename
    4751302