伊力哈木·亚尔买买提

• 1:新疆大学电气工程学院

摘要(Abstract)：

针对非均匀光照因素干扰维吾尔族人脸识别效果,提出基于CL多小波和灰度排列对(GAP)算法。首先通过归一化系统操作消弱非均匀光照对维吾尔族人脸图像的初级影响,然后利用CL多小波分解一层操作提取维吾尔族人脸图像中的非高频信息,再采取GAP算法找到维吾尔族人脸图像中固定的二维像素点差,为每个类型的维吾尔族人脸信息图像创立其对应的背景匹配模版,最后分类识别经过估算的测试样本图像和每个类型模版的匹配程度。实验结果表明,该算法在保留维吾尔族人脸图像特征的同时,极大地提高了维吾尔族人脸的识别率和运算速度,使维吾尔族人脸图像拥有了非均匀光照下良好的鲁棒性和实时性。

关键词(KeyWords)： 非均匀光照;维吾尔族人脸;CL多小波;灰度排列对;非高频信息;背景匹配模板

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(61462082)~~

作者(Author): 伊力哈木·亚尔买买提

DOI: 10.16652/j.issn.1004-373x.2018.11.014

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