基于判别式字典的正则化稀疏表示人脸识别算法
TP391.4; 为了克服非约束性（光照、表情变化）条件下会大大降低人脸识别率的缺陷，提出一种基于 Fisher判别准则的正则化稀疏表示人脸识别算法。首先将人脸图像经过 Gabor 滤波器滤波得到Gabor幅值图像，提取其统一化的局部二进制直方图，然后利用 Fisher判别准则学习得到新的字典，最后通过正则化的稀疏表示判断测试图像所属类。利用AR数据库的数据进行实验的结果表明，与SRC、FDDL、RSC识别算法相比，本文算法在非约束性条件下具有最佳的识别率。...
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| Published in | 南京信息工程大学学报 no. 6; pp. 519 - 524 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
南京信息工程大学 江苏省大气环境与装备技术协同创新中心，南京，210044%南京信息工程大学 电子与信息学院，南京，210044
2015
南京信息工程大学 电子与信息学院，南京，210044 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-7070 |
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| Abstract | TP391.4; 为了克服非约束性（光照、表情变化）条件下会大大降低人脸识别率的缺陷，提出一种基于 Fisher判别准则的正则化稀疏表示人脸识别算法。首先将人脸图像经过 Gabor 滤波器滤波得到Gabor幅值图像，提取其统一化的局部二进制直方图，然后利用 Fisher判别准则学习得到新的字典，最后通过正则化的稀疏表示判断测试图像所属类。利用AR数据库的数据进行实验的结果表明，与SRC、FDDL、RSC识别算法相比，本文算法在非约束性条件下具有最佳的识别率。 |
|---|---|
| AbstractList | TP391.4; 为了克服非约束性（光照、表情变化）条件下会大大降低人脸识别率的缺陷，提出一种基于 Fisher判别准则的正则化稀疏表示人脸识别算法。首先将人脸图像经过 Gabor 滤波器滤波得到Gabor幅值图像，提取其统一化的局部二进制直方图，然后利用 Fisher判别准则学习得到新的字典，最后通过正则化的稀疏表示判断测试图像所属类。利用AR数据库的数据进行实验的结果表明，与SRC、FDDL、RSC识别算法相比，本文算法在非约束性条件下具有最佳的识别率。 |
| Abstract_FL | To address the reduced face recognition accuracy in uncontrolled conditions such as the change of illu?mination,countenance or posture, a face recognition algorithm was proposed based on discriminative dictionary learning and regularized robust coding.Firstly,a face image is filtered by the Gabor filter to obtain the Gabor ampli?tude images,and the uniform local binary histogram is extracted.Then the Fisher criterion is used to gain a new dis?criminative dictionary,finally the regularized sparse representation is employed to test and classify the image.The ex?perimental results based on AR face database show that the proposed algorithm has the highest face recognition rate in the existing uncontrolled environments,compared with algorithms such as Sparse Representation based Classifier, Fisher Discrimination Dictionary Learning,and Robust Sparse Coding for face recognition. |
| Author | 张铃华 陆振宇 何珏杉 |
| AuthorAffiliation | 南京信息工程大学 电子与信息学院，南京，210044; 南京信息工程大学 江苏省大气环境与装备技术协同创新中心，南京，210044%南京信息工程大学 电子与信息学院，南京，210044 |
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| Author_FL | HE Jueshan LU Zhenyu ZHANG Linghua |
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| ClassificationCodes | TP391.4 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DocumentTitle_FL | Face recognition algorithm based on discriminative dictionary learning and regularized robust coding |
| EndPage | 524 |
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| Keywords | 统一化的局部二进制模式 uniform local binary pattern Gabor filtering 学习字典 regularized sparse representation dic-tionary learning face recognition 人脸识别 正则化的稀疏表示 Gabor滤波 |
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| Publisher | 南京信息工程大学 江苏省大气环境与装备技术协同创新中心，南京，210044%南京信息工程大学 电子与信息学院，南京，210044 南京信息工程大学 电子与信息学院，南京，210044 |
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| Snippet | TP391.4; 为了克服非约束性（光照、表情变化）条件下会大大降低人脸识别率的缺陷，提出一种基于 Fisher判别准则的正则化稀疏表示人脸识别算法。首先将人脸图像经过 Gabor 滤波器滤波得到Gabor幅值图像，提取其统一化的局部二进制直方图，然后利用... |
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| Title | 基于判别式字典的正则化稀疏表示人脸识别算法 |
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