Frontal view reconstruction for iris recognition
Abstract
Iris recognition can be accomplished for a wide variety of eye images by correcting input images with an off-angle gaze. A variety of techniques, from limbus modeling, corneal refraction modeling, optical flows, and genetic algorithms can be used. A variety of techniques, including aspherical eye modeling, corneal refraction modeling, ray tracing, and the like can be employed. Precomputed transforms can enhance performance for use in commercial applications. With application of the technologies, images with significantly unfavorable gaze angles can be successfully recognized.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1170376
- Patent Number(s):
- 8958608
- Application Number:
- 13/910,069
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Santos-Villalobos, Hector J, Bolme, David S, and Boehnen, Chris Bensing. Frontal view reconstruction for iris recognition. United States: N. p., 2015.
Web.
Santos-Villalobos, Hector J, Bolme, David S, & Boehnen, Chris Bensing. Frontal view reconstruction for iris recognition. United States.
Santos-Villalobos, Hector J, Bolme, David S, and Boehnen, Chris Bensing. Tue .
"Frontal view reconstruction for iris recognition". United States. https://www.osti.gov/servlets/purl/1170376.
@article{osti_1170376,
title = {Frontal view reconstruction for iris recognition},
author = {Santos-Villalobos, Hector J and Bolme, David S and Boehnen, Chris Bensing},
abstractNote = {Iris recognition can be accomplished for a wide variety of eye images by correcting input images with an off-angle gaze. A variety of techniques, from limbus modeling, corneal refraction modeling, optical flows, and genetic algorithms can be used. A variety of techniques, including aspherical eye modeling, corneal refraction modeling, ray tracing, and the like can be employed. Precomputed transforms can enhance performance for use in commercial applications. With application of the technologies, images with significantly unfavorable gaze angles can be successfully recognized.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 17 00:00:00 EST 2015},
month = {Tue Feb 17 00:00:00 EST 2015}
}
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