| 基于支持向量机和纹理特征的人脸识别 |
| |
| 引用本文： | 鲁庆明,徐东平.基于支持向量机和纹理特征的人脸识别[J].计算机与数字工程,2010,38(10):122-124. |
| |
| 作者姓名： | 鲁庆明 徐东平 |
| |
| 作者单位： | 武汉理工大学计算机科学与技术学院,武汉,430063 |
| |
| 摘 要： | 提出了一种基于支持向量机和纹理特征的识别方法及框架模型。即在研究支持向量机理论的基础上,采用支持向量机的分类算法实现人脸识别系统的训练和测试,并将图像的纹理特征技术应用于人脸识别的预处理中。实验表明支持向量机和纹理特征相结合可以获得较好的识别率。
|
| 关 键 词： | 人脸识别 支持向量机 纹理特征 机器学习 |
Face Recognition Based on Support Vector Machines and Texture Features |
| |
| Lu Qingming,Xu Dongping.Face Recognition Based on Support Vector Machines and Texture Features[J].Computer and Digital Engineering,2010,38(10):122-124. |
| |
| Authors: | Lu Qingming Xu Dongping |
| |
| Affiliation: | Lu Qingming Xu Dongping(Department of Computer Science and Technology,Wuhan University of Technology,Wuhan430063) |
| |
| Abstract: | A recognition method based on support vector and texture features is proposed to solve this question.SVM classification algorithm is used to realize the face recognition system＇s training and testing based on the research of Support Vector Machine theory.And image texture features technology is also applied to the pre-process.Experimental results have shown that recognition rate was greatly increased by the combination of SVM and texture features. |
| |
| Keywords: | face recognition support vector machine texture features machine learning |
| 本文献已被 维普 万方数据 等数据库收录！ |
