| 基于Morlet小波变换系数的自适应虹膜识别 |
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| 引用本文： | 林忠华.基于Morlet小波变换系数的自适应虹膜识别[J].光电工程,2009,36(9). |
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| 作者姓名： | 林忠华 |
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| 作者单位： | 河南理工大学计算机科学与技术学院,河南,焦作,454000 |
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| 摘 要： | 传统的虹膜识别方法原理复杂,实现困难.为了在保证识别率的同时简化虹膜识别算法,提高虹膜识别效率,本文提出了一种基于Morlet小波变换系数的自适应虹膜识别方法.首先,进行虹膜定位和下眼睑拟合,然后对虹膜图像进行归一化操作,得到512列x64行的矩形虹膜图像,并自适应地确定有效虹膜区域;其次,在虹膜有效区域内,对图像逐行进行一维Morlet小波变换,获得不同尺度下一系列小波变换系数,进而得到不同尺度下的小波变换系数分布图;再次,依据不同尺度下的小波变换系数对图像进行二进制编码,用虹膜代码表示虹膜模式;最后,采用自适应的模式匹配方法对不同的虹膜模式进行分类,给出识别结果.实验证明,该方法可以达到99.946%的识别率,能够满足虹膜识别要求.
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| 关 键 词： | 生物特征识别 虹膜识别 Morlet小波 小波变换系数 |
Adaptive Iris Recognition Based on the Morlet Wavelet Transform Coefficients |
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| LIN Zhong-hua.Adaptive Iris Recognition Based on the Morlet Wavelet Transform Coefficients[J].Opto-Electronic Engineering,2009,36(9). |
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| Authors: | LIN Zhong-hua |
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| Affiliation: | LIN Zhong-hua ( School of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454000,Henan Province,China ) |
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| Abstract: | The theories of the traditional iris recognition methods are complex, and the realizations are difficult. In order to ensure the recognition rate, simplify the algorithm and improve iris recognition efficiency, an adaptive iris recognition method is presented based on the Morlet wavelet transform coefficients. Firstly, locate the iris and fit the contour of lower eyelid, then make normalization to the iris image for getting 512 columns multiplying 64 rows rectangular iris image, and ensure the effective iri... |
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| Keywords: | biometrics iris recognition Morlet wavelet wavelet transform coefficient |
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