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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Matey, J.R. Naroditsky, O. Hanna, K. Kolczynski, R. LoIacono, D.J. Mangru, S. Tinker, M. Zappia, T.M. Zhao, W.Y. |
| Copyright Year | 1963 |
| Abstract | Iris recognition is one of the most powerful techniques for biometric identification ever developed. Commercial systems based on the algorithms developed by John Daugman have been available since 1995 and have been used in a variety of practical applications. However, all currently available systems impose substantial constraints on subject position and motion during the recognition process. These constraints are largely driven by the image acquisition process, rather than the particular pattern-matching algorithm used for the recognition process. In this paper we present results of our efforts to substantially reduce constraints on position and motion by means of a new image acquisition system based on high-resolution cameras, video synchronized strobed illumination, and specularity based image segmentation. We discuss the design tradeoffs we made in developing the system and the performance we have been able to achieve when the image acquisition system is combined with a standard iris recognition algorithm. The Iris on the Move (IOM) system is the first system to enable capture of iris images of sufficient quality for iris recognition while the subject is moving at a normal walking pace through a minimally confining portal |
| Sponsorship | IEEE Publication |
| Starting Page | 1936 |
| Ending Page | 1947 |
| Page Count | 12 |
| File Size | 1392039 |
| File Format | |
| ISSN | 00189219 |
| Volume Number | 94 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iris recognition Biometrics Pattern recognition Image recognition Cameras Lighting Image segmentation Algorithm design and analysis Standards development Legged locomotion strobe illumination Biometric identification eye safety image acquisition image processing iris recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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