• DocumentCode
    1508102
  • Title

    Iris recognition technology

  • Author

    Williams, Gerald O.

  • Author_Institution
    IriScan Inc., Mt. Laurel. NJ, USA
  • Volume
    12
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    23
  • Lastpage
    29
  • Abstract
    IriScan Inc. has been developing an identification/verification system capable of positively identifying and verifying the identity of individuals without physical contact or human intervention. A new technology, using the unique patterns of the human iris, shows promise of overcoming previous shortcomings and providing positive identification of an individual without contact or invasion, at extremely high confidence levels. The video-based system locates the eye and iris; evaluates the degree of occlusion by eyelid and spectral reflection; determines the quality of image focus; and determines the center and boundary of the pupil and the limbus (outer edge of the iris) for processing. The iris is zoned, and the features therein measured and encoded into a 256-byte (2048 bit) IrisCode for enrollment or identification. The presented biometric is compared to an extensive database for identification, or to a referenced IrisCode for verification. Computations and decisions are accomplished at extremely high rates of speed, resulting in processing times of less than two seconds. The process is based on the unique nature and extreme richness of the human iris. The multiple features produce a non-duplicable organ with more than 400 degrees of freedom, or measurable variables. The IriScan process typically uses about 200 of these to create a code which can be compared to an entire database in milliseconds, producing a positive identification with “imposter odds” as high as 1 in 1034
  • Keywords
    Hamming codes; biometrics (access control); computer vision; eye; face recognition; feature extraction; image colour analysis; video coding; visual databases; 2048 bit; Hamming distance; IrisCode; biometric identifiers; code; crossover error rate; database distribution by colour; degree of occlusion; extremely high speed; eyelid reflection; high confidence leve; human iris; image acquisition; image analysis; image focus quality; imposter odds; iris recognition technology; personal identification/verification system; positive identification; spectral reflection; video-based system; Biometrics; Facial features; Fingerprint recognition; Geometry; Humans; Image databases; Iris recognition; Retina; Spatial databases; Veins;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/62.575997
  • Filename
    575997