2D legendre wavelet filter for iris recognition feature extraction

Danlami Muktar, Sapiee Jamel, S. N. Ramli, M. M. Deris
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引用次数: 4

Abstract

In iris recognition system, the feature extraction is the most important stages where the iris unique feature is extracted. Several methods of achieving this have been proposed in order to extract the distinct features that are unique to each individual. The aim of this research is to proposed a new Legendre wavelet filter that will decompose the iris data and extract the unique pattern for the iris recognition system. The research considers using wavelet because wavelet are the most suitable means of image processing in general. The Legendre filter create show a very fine result of a decomposed iris image for classification.
二维legendre小波滤波器用于虹膜识别特征提取
在虹膜识别系统中,特征提取是虹膜唯一特征提取的重要阶段。为了提取每个个体的独特特征,已经提出了几种实现这一目标的方法。本研究的目的是提出一种新的勒让德小波滤波器,对虹膜数据进行分解,提取出虹膜识别系统的唯一模式。研究考虑使用小波,因为小波是一般情况下最适合的图像处理手段。创建的勒让德滤波器显示了一个非常精细的虹膜图像分解结果,用于分类。
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