Research of Iris Recognition Algorithm Based on Fractal GeometryTheory

Yang Duan-li, Zhaonan Yang, Wang Jun-hao
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引用次数: 1

Abstract

The rapid development of global economy and science and technology makes the modern society to the safety requirements more and more important. Personal identification system has been unable to meet the need of information security, people proposed biometric identification technology using biometric for human identification, such as fingerprints, iris and voice. The iris recognition technology with its non-invasive, high reliability advantages of rapid development is becoming the research focus in the field. Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular change, covering blanket dimension can better reflect the graphics changes in different resolution characteristics; missing is the fractal dimension and independent statistics, is a supplement to the fractal dimension, overcome the different texture characteristics may have the same fractal dimension of the problem. This paper presents a blanket and missing items based on the combination of texture feature extraction algorithm, can make full use of radiation in different resolution iris texture information and texture, classification ability make feature matrix has a better.
基于分形几何理论的虹膜识别算法研究
全球经济和科技的飞速发展使得现代社会对安全的要求越来越重要。个人识别系统已经不能满足信息安全的需要,人们提出了利用生物特征进行人体识别的生物识别技术,如指纹、虹膜和声音等。虹膜识别技术以其无创、高可靠性等优点迅速发展成为该领域的研究热点。分形几何理论为表达非线性图像信息提供了新的思路和方法,分形维数是分形几何的重要参数,是不规则变化复杂性的度量,覆盖层维数能较好地反映图形在不同分辨率下变化的特征;缺失的是分形维数和独立统计,是对分形维数的补充,克服了不同纹理特征可能具有相同分形维数的问题。本文提出了一种基于地毯式和缺失项目相结合的纹理特征提取算法,可以充分利用辐射下不同分辨率的虹膜纹理信息和纹理,使特征矩阵具有更好的分类能力。
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