摘要
本文研究了人脸识别系统的各个步骤,图像预处理,包括人脸检测与定位.介绍了目前主要的人脸检测方法:基于模板匹配方法(Template Matching Methods)和基于知识的方法.并在ORL人脸库中使用本文所用分类器与SVM和NN进行对比实验,得出稀疏表示人脸分类器识别效果优于SVM和NN.
This paper studies the various steps of face recognition systems and image preprocessing,including face detection and location. It introduces the main methods of face detection: template matching method and knowledge- based approach. Sparse representation face classifier proposed in this paper is used in ORL face database and its effect is better than that of SVM and NN.
出处
《白城师范学院学报》
2015年第11期28-31,共4页
Journal of Baicheng Normal University
关键词
人脸识别
图像预处理
特征提取
稀疏表示
face recognition
image pre-processing
features extraction
sparse representation
