摘要
传统的PCA人脸识别算法是直接从图像中提取人脸进行识别,由于人脸的大小、角度,光照等原因导致识别率低。本文提出的基于人脸核心特征的人脸识别算法是通过人脸核心特征,包括左眼、右眼、鼻子、嘴巴进行人脸识别。这种算法能有效克服人脸识别中的大小、角度、光照等不利因素,显著提高了人脸识别率,并成功应用于智能相片搜索系统。
The traditional PCA（Principle Component Analysis）face recognition algorithm recognizes faces by face images directly,its recognition rate is low because of the size,angle,light and other factors of the face.The face recognition algorithm based on the core features of the face recognizes faces by the core features of the face,including the left eye,right eye,nose,mouth.This algorithm can effectively overcome the unfavorable factors,such as the size,angle,light on the face and others,significantly improve face recognition rate,and successful implement the intelligent photo search system.
出处
《电子器件》
CAS
北大核心
2012年第5期607-610,共4页
Chinese Journal of Electron Devices
关键词
人脸识别
核心特征
PCA
face recognition
core features
PCA（Principle Component Analysis）
