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。
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.
出处
《计算机与数字工程》
2010年第10期122-124,共3页
Computer & Digital Engineering
关键词
人脸识别
支持向量机
纹理特征
机器学习
face recognition
support vector machine
texture features
machine learning
