Conference proceeding
Methodology and apparatus for using the human iris as a robust biometric
Proceedings of SPIE, v 3246(1), pp 65-74
01 Jun 1998
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.
Metrics
Details
- Title
- Methodology and apparatus for using the human iris as a robust biometric
- Creators
- Michael A DellaVecchia - Wills Eye HospitalThomas Chmielewski - Sensar, Inc. (USA)Ted A Camus - Sensar, Inc. (USA)Marcos Salganicoff - Sensar, Inc. (USA)Michael Negin - Sensar, Inc. (USA)
- Publication Details
- Proceedings of SPIE, v 3246(1), pp 65-74
- Conference
- Ophthalmic Technologies VIII
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000074660600010
- Scopus ID
- 2-s2.0-0032225366
- Other Identifier
- 991021886943304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Ophthalmology
- Optics