基于b样条和小波的虹膜识别技术

S. Emerich, A. Discant, E. Lupu, S. Demea
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引用次数: 1

摘要

近年来,小波分析的应用越来越广泛,涉及到包括生物医学在内的许多科学研究领域。提出了一种基于小波变换的虹膜分类方法。虹膜识别的基本理论建立在这样一个前提上,即每个虹膜都具有足够的个体特征,可以通过图像分析将其与其他虹膜区分开来。在我们的研究中,我们使用了不同的小波和尺度函数,包括最近发现的分数b样条族。为了执行分类任务,我们使用Weka系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
B-spline and Wavelet Based Techniques for Iris Recognition
Over recent years, applications of wavelet analysis are widespread and cover many fields of scientific research including biomedical science. We propose an iris classification method based on wavelet techniques. The fundamental theory for iris identification rests on the premise that every iris is individually characteristic enough to distinguish it from others through image analysis. In our study we are using different wavelet and scaling functions, including the recent discovered family of fractional B-splines. To perform the classification task we use the Weka system.
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