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A comprehensive approach for sclera image quality measure

A comprehensive approach for sclera image quality measure Poor quality images can affect sclera recognition accuracy. An image quality measure can help improve the recognition system performance. In this paper, we proposed a comprehensive approach for sclera image quality measure, which includes quality filter and quantitative quality assessment unit, segmentation evaluation unit, feature evaluation unit, and score fusion unit. The experimental results show that the combination score is highly correlated with the sclera recognition accuracy and can be used to improve and predict the performance of sclera recognition systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

A comprehensive approach for sclera image quality measure

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2013.052972
Publisher site
See Article on Publisher Site

Abstract

Poor quality images can affect sclera recognition accuracy. An image quality measure can help improve the recognition system performance. In this paper, we proposed a comprehensive approach for sclera image quality measure, which includes quality filter and quantitative quality assessment unit, segmentation evaluation unit, feature evaluation unit, and score fusion unit. The experimental results show that the combination score is highly correlated with the sclera recognition accuracy and can be used to improve and predict the performance of sclera recognition systems.

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2013

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