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Image understanding for iris biometrics: a survey (2007)
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| Venue: | Computer Vision and Image Understanding |
| Citations: | 159 - 33 self |
BibTeX
@TECHREPORT{Bowyer07imageunderstanding,
author = {Kevin W. Bowyer and Karen Hollingsworth and Patrick J. Flynn},
title = {Image understanding for iris biometrics: a survey},
institution = {Computer Vision and Image Understanding},
year = {2007}
}
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Abstract
This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making their primary contribution to one of the four major modules in iris biometrics: image acquisition, iris segmentation, texture analysis and matching of texture representations. Other important research includes experimental evaluations, image databases, applications and systems, and medical conditions that may affect the iris. We also suggest a short list of recommended readings for someone new to the field to quickly grasp the big picture of iris biometrics.
Keyphrases
iris biometrics texture representation major module recommended reading image database medical condition short list research publication image acquisition historical development image understanding iris segmentation current state experimental evaluation important research big picture primary contribution texture analysis
