多角度巩膜识别系统

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI:10.1109/CIBIM.2011.5949225

Zhi Zhou, S. Member, E. Du, Senior Member, N. L. Thomas, E. Delp

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引用次数: 36

摘要

巩膜模式可用于人体分类和鉴定;然而，图像质量对识别精度影响很大。本文对四种多角度巩膜识别融合方法进行了研究和分析。实验结果表明，本文提出的多角度巩膜识别系统总体上具有较好的性能。此外，在选择融合方法时考虑系统的应用需求是很重要的。

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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Multi-angle sclera recognition system

Sclera patterns can be used for human classification and identification; however image quality can significantly affect the recognition accuracy. In this paper, we studied and analyzed four multi-angle sclera recognition fusion methods. The experimental results show that these proposed multi-angle sclera recognition systems can achieve better performance in general. In addition, it shows that it is important to take system application needs into account when selecting the fusion method.

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来源期刊

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

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