Abstract
This paper describes a prototype system for personnel verification based on automated iris recognition. The motivation for this endevour stems from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric measurement. In particular, it is known in the biomedical community that irises are as distinct as fingerprints or patterns of retinal blood vessels. Further, since the iris is an overt body, its appearance is amenable to remote examination with the aid of a machine-vision system. The body of this paper details the design and operation of such a system. Also presented are the results of an empirical study in which the system exhibits flawless performance in the evaluation of 520 iris images.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ballard DH (1981) Generalizing the Hough transform to detect arbitrary shapes. Patt Recogn 13:111–122
Ballard DH, Brown CM (1982) Computer vision. Prentice Hall, Engelwood Cliffs, NJ
Bergen JR, Anandan P, Hanna K, Hingorani R (1991) Hierarchical modelbased motion estimation. European Conference on Computer Vision, Italy. Springer Berlin, Heidelberg New York Berlin, pp 5–10
Bertillon A (1985) La couleur de l'iris. Rev Sci 36:65–73
Burt PJ, Adelson E (1983) The Laplacian pyramid as a compact image code. IEEE Trans Commun 31:532–540
Cope WT, Wolbarsht ML, Yamanishi BS (1978) The corneal polarization cross. J Opt Soc A 68:1139–1140
Daugman JG (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE Patt Anal Machine Intell 15:1148–1161
Davison H (1962) The Eye. Academic, London
DeValois RL, DeValois KK (1988) Spatial vision. Oxford University Press, New York
Fisher RA (1936) The use of multiple measurements in taxonomic problems. Ann Eugen 7:179–188
Flom L, Safir A (1987) Iris recognition system. US Patent 4641349
Fowler RC (1984) Bringing biometrics to access control. Security Manual, p 36
Hough PVC (1962) Method and means for recognizing complex patterns. US Patent 3069654
Jenkins FA, White HE (1976) Fundamentals of optics. McMillan, New York
Johnson RG (1991) Can iris patterns be used to identify people? Chemical and Laser Sciences Division LA-12331-PR, Los Alamos National Laboratory, Los Alamos, Calif
Samal A, Iyengar PA (1992) Automatic recognition and analysis of human faces and facial expressions: a survey. Patt Recogn 25:65–77
SAS Users Guide (1990) SAS Institute, Cary, NC
Simon C, Goldstein I (1935) A new scientific method of identification. NY State J Med 35:901–906
Yuille AL, Hallinan P, Cohen D (1992) Feature extraction from faces using deformable templates. Int J Comput Vis 8:99–112
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Wildes, R.P., Asmuth, J.C., Green, G.L. et al. A machine-vision system for iris recognition. Machine Vis. Apps. 9, 1–8 (1996). https://doi.org/10.1007/BF01246633
Issue Date:
DOI: https://doi.org/10.1007/BF01246633