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Proceedings Paper

Methodology and apparatus for using the human iris as a robust biometric
Author(s): Michael A. DellaVecchia; Thomas Chmielewski; Ted A. Camus; Marcos Salganicoff; Michael Negin
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Paper Abstract

The human iris possesses characteristics that make it significantly more robust for use as a biometric identifier when compared with conventional techniques such as fingerprints, face recognition or retinal scan. The iris is an overt body, thereby allowing a remote acquisition system to capture the image. Visual patterns in individual irises are highly distinctive and clearly apparent thereby minimizing the likelihood of false positives and false negatives enrollments. Such visual iris patterns are stable over time thereby requiring a single enrollment that can last over the user's lifetime. Furthermore, the digital information of the iris can be coded very effectively, requiring a modest amount of computer storage and processing. This paper describes an automated system which allows non-intrusive acquisition of quality iris images for the purposes of enrollment, verification or identification. In essence, user locale within a prescribed volume and unobtrusive gaze toward the image acquisition devices are the only engineering hardware criteria for enrollment and verification. The device operates with non- visible near infrared illumination. The initial image acquisition uses a stereo camera pair (3D vision) system to locate the subject within a relatively large operational volume. The resulting coordinates of the user's right or left eye are used to position a pan/tilt mirror and focus mechanism associated with a higher magnification camera. This camera, called the narrow field of view (NFOV) camera, is then used to acquire a high contrast fine resolution iris image which is presented to a proprietary algorithm for the generation of an 'iris code.' Finally the computed iris code is compared to a previously stored enrollment code associated with the user for verification.

Paper Details

Date Published: 1 June 1998
PDF: 10 pages
Proc. SPIE 3246, Ophthalmic Technologies VIII, (1 June 1998); doi: 10.1117/12.309451
Show Author Affiliations
Michael A. DellaVecchia, Wills Eye Hospital (United States)
Thomas Chmielewski, Sensar, Inc. (United States)
Ted A. Camus, Sensar, Inc. (United States)
Marcos Salganicoff, Sensar, Inc. (United States)
Michael Negin, Sensar, Inc. (United States)


Published in SPIE Proceedings Vol. 3246:
Ophthalmic Technologies VIII
Pascal O. Rol; Karen Margaret Joos; Fabrice Manns, Editor(s)

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