GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-01 DOI:10.1109/CIBIM.2011.5949211

G. Dozier, Kamilah Purrington, Khary Popplewell, Joseph Shelton, Tamirat T. Abegaz, Kelvin S. Bryant, Joshua Adams, D. Woodard, Philip E. Miller

引用次数: 15

Abstract

In this paper, we introduce the concept of genetic & evolutionary feature selection (GEFeS) for periocular biometric recognition. Our results show that GEFeS dramatically reduces the number of features needed for periocular recognition as well as increases recognition accuracy.

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GEFeS:眼周生物识别的遗传和进化特征选择

本文介绍了眼周生物特征识别中的遗传和进化特征选择的概念。我们的研究结果表明，GEFeS显著减少了眼周识别所需的特征数量，并提高了识别精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)

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