聊城大学学报（自然科学版）2014，Vol.27Issue(4)：100-104,5.
基于特征脸和神经网络的人脸表情识别方法
Research on Method of Facial Expression Recognition Based on Eigen Face and Neural Network
摘要
Abstract
A face detection system based on principal component analysis algorithm and neural net‐work techniques ,a different technique of recognizing the characteristic points was put forward .The de‐tection system was used to feature extraction ,principal component analysis and artificial neural net‐work ,the eigenfaces methods and the algorithm were paid on face recognition .In the algorithm ,the characteristic vectors and the eigenfaces were obtained by recognizing the images from the initial face im‐age set ,and these faces are projected onto the eigenfaces for calculating the weights .These weights cre‐ated a face database to recognize the face by using neural network .The test result showed that the accu‐racy w as 82% ,achieved the ideal result .关键词
特征脸/特征向量/人脸表情识别/神经网络Key words
eigenface/eigenvector/facial expression recognition/neural network分类
信息技术与安全科学引用本文复制引用
刘皓..基于特征脸和神经网络的人脸表情识别方法[J].聊城大学学报（自然科学版）,2014,27(4):100-104,5.基金项目
聊城大学东昌学院课题项目(2013LG001) （2013LG001）
